Latest technologies from Canberra IP

Adaptive Real-Time Control for Hybrid Physical–Virtual Mechanical Testing

techtransfer@buffalo.edu — Mon, 06 Jul 2026 11:50:45 GMT

030-7745: Stable Specimen-Independent Real-Time Hybrid Simulation Algorithm for Physical-Virtual Testing Systems

A real-time control algorithm and software toolchain for physical–virtual hybrid testing systems that eliminates the need for prior specimen knowledge or specimen-specific tuning.

BACKGROUND:

Real-time hybrid simulation and hardware-in-the-loop testing combine physical specimens with virtual models to accelerate validation in automotive, aerospace, and defense systems. However, current methods require prior knowledge of the specimen and iterative tuning, increasing cost, time, and risk of damage. These closed-loop systems are also prone to instability, and existing approaches do not provide formal stability guarantees.

TECHNOLOGY OVERVIEW:

This University at Buffalo invention is a real-time control algorithm for physical-virtual testing systems that operates without prior knowledge of the test specimen or specimen-specific tuning. It processes sensor data from the physical interface and generates actuator commands in real time to maintain stable interaction between physical and virtual components. The software can be implemented in MATLAB, C/C++, or LabVIEW and integrated with standard simulation platforms. It includes offline setup modules, real-time execution modules, and supporting documentation. The key innovation is a control framework that enables specimen-independent operation with theoretical closed-loop stability guarantees.

https://buffalo.technologypublisher.com/files/sites/7745_tc_picture.jpg

ADVANTAGES:

ADVANTAGES:

Removes the need for specimen-specific calibration, reducing setup time and cost while improving efficiency
Minimizes the risk of specimen damage during early testing and ensures stable closed-loop behavior through formal theoretical guarantees
Is compatible with existing industrial testing and simulation systems.

APPLICATIONS:

The technology is applicable to real-time hybrid simulation and hardware-in-the-loop testing in automotive, aerospace, and defense sectors, as well as dynamic substructuring and industrial test rigs. It also has emerging applications in robotics, particularly for systems interacting with uncertain environments, and in robotic surgery simulation and training.

INTELLECTUAL PROPERTY SUMMARY:

STAGE OF DEVELOPMENT

TRL 6

LICENSING STATUS:

Available for licensing or collaboration.

SMART: Scalable and Modular Architecture for Routing-Aware Testing of FOWLP

ip@skysonginnovations.com — Mon, 06 Jul 2026 10:46:55 GMT

Invention Description

Fan-out wafer-level packaging (FOWLP) is an advanced packaging technology that connects multiple chiplets using copper (Cu) pillars and redistribution layers (RDLs). As chiplet-based designs become more complex, they require multi-layer RDLs, which are more prone to defects such as opens, shorts, coupling, and electromigration due to higher wiring density and current levels. Conventional testing methods are not practical for these large many-chiplet packages because they require an excessive number of test patterns.

Researchers at Arizona State University have developed SMART, a novel framework that addresses the challenges of testing FOWLPs used in multi-chiplet integration. By utilizing multi-layer redistribution layer (RDL) routing data, SMART partitions interconnects into regions to enable targeted, efficient test scheduling. This approach reduces test time and area overhead while maintaining over 99.8% fault coverage, tackling defects such as opens, shorts, and coupling issues driven by high-density multi-layer structures and electromigration. Further, the framework incorporates design space exploration to balance test performance metrics effectively.

By leveraging routing information to efficiently detect defects, this scalable and modular framework is designed to optimize testing of advanced FOWLPs and support heterogeneous integration crucial for AI, high-performance computing, and IoT applications.

Potential Applications

Semiconductor packaging for AI accelerators and high-performance computing systems
Testing and quality assurance of fan-out wafer-level packages in semiconductor manufacturing
Automotive electronics requiring stringent fault detection and reliability
Large-scale chiplet systems integration and manufacturing
Integration of heterogeneous chiplets for IoT and edge devices

Benefits and Advantages

Significantly reduces test time and area overhead compared to traditional methods
Highly scalable and adaptable to large, complex package sizes and complexities
Over 99.8% fault coverage ensuring high reliability with minimal test resources
Enables parallel testing through effective graph partitioning
Resource-efficient built-in self-test architecture for accurate fault diagnosis
Enhanced targeting of realistic defects through routing-aware testing
Optimized for modern heterogeneous multi-chiplet packages

For more information about this opportunity, please see

Bhoumik et al – ITC - 2025

Digital Twin Platform for Conducting a Building Energy Analysis

saradagen@ufl.edu — Mon, 06 Jul 2026 10:34:12 GMT

Bi-Directional Integration of NVIDIA™ Omniverse and EnergyPlus™ for Real-Time Performance Simulation and Predictive Maintenance

This digital twin platform connects to the industry-standard Building Performance Simulation engine, EnergyPlus™, to conduct building energy scenario analysis. It addresses a critical gap in the architecture, engineering, and construction (AEC) industry to perform high-fidelity, real-time energy analysis on complex building systems. Buildings account for a significant amount of global energy consumption and greenhouse gas emissions. At a national level, they represent a significant lever for national energy conservation, with the combined residential and commercial sectors accounting for approximately 37% of total U.S. energy consumption when accounting for electricity-generation losses. Despite the availability of modern Building Information Modeling (BIM), current systems often struggle to bridge the gap between static architectural data and dynamic, physics-based performance analysis. Existing building management approaches and simulation tools are often limited by fragmented data silos and a lack of real-time integration.

Traditional methods frequently rely on static models that do not account for real-time environmental factors or human-related drivers, such as occupant behavior and operational maintenance; these can influence energy outcomes as significantly as physical building properties. Furthermore, standard simulation engines like EnergyPlus™ typically require bespoke, labor-intensive integrations for each new building model, preventing the scalable, "on-the-fly" analysis necessary for modern facility management. The global market for digital twin technology is rapidly expanding as a crucial concept for improving productivity and reducing downtime across the built environment. By 2023, the significance of building energy profiles has underscored a growing need for robust improvement strategies that can forecast energy demands and simulate complex heating, ventilation, and air conditioning (HVAC) loads with precision. However, the industry still faces a lack of seamless, bi-directional interfaces for visualizing both building states and predicting future performance through automated "what-if" scenario testing.

University of Florida researchers have developed a computing system featuring a bi-directional connector module that interfaces with high-fidelity digital twin platforms, such as NVIDIA™ Omniverse, with the industry-standard EnergyPlus™ simulation engine. This framework leverages a layered architecture, comprising hardware, middleware, and software, to create a dynamic virtual replica of physical assets that is continuously updated with real-time IoT sensor data. By decoupling the digital twin from the simulation engine through a generic connector, this approach enables scalable, real-time decision support and predictive maintenance, offering a transformative solution for energy efficiency and providing building operators with actionable insights to reduce global greenhouse gas emissions. This tool offers valuable data for advancing energy-efficient architectural designs.

Application

Seamless, interactive building energy decision-making platform for conducting building energy scenario analysis and performance optimization and prediction through high-fidelity digital twin visualization and physics-based simulation

Advantages

Integrates high-fidelity digital twin environments with physics-based simulation engines, enabling building analysis/decision-making in a non-invasive and cost-effective manner
Utilizes bi-directional connector technology to synchronize real-time IoT data with building performance models with high sensitivity, enabling workflows to conduct “what if” scenarios
Provides information about the building's thermal properties and energy loads imperative to understand cooling and heating efficiency, optimizing architectural designs to minimize resource consumption

Technology

Performing building energy analysis involves using a high-fidelity digital twin platform, a bi-directional connector module, and a physics-based simulation engine. Static geometric data from a Building Information Model (BIM) enters the platform, integrates with real-time operational data from IoT sensors, and reaches the simulation engine. Next, a bi-directional loop is established between the virtual replica and the simulation engine, and "what-if" scenarios are executed. Performance results are quantified by analyzing the output data returned from the engine to the digital twin interface. The ratio of energy consumption to specific operational variables is then calculated to provide near real-time visual feedback. These measurements provide valuable insights, enabling building operators to make informed decisions about a building’s energy efficiency.

PRISM: Priority-first Repair with Intelligent Spare Mapping

ip@skysonginnovations.com — Mon, 06 Jul 2026 10:17:00 GMT

Invention Description

As the semiconductor industry transitions from monolithic dies to chiplet-based architectures, interconnect density has increased dramatically, making copper pillars and redistribution layers more susceptible to defects such as voids, delamination, and bridging shorts. Conventional repair approaches, including those defined by the Universal Chiplet Interconnect Express (UCIe) standard, rely on static redundancy with only a limited number of dedicated spare links. While effective for isolated failures, these methods struggle to accommodate multiple faults that arise under manufacturing variations or operational stress. As a result, even a small number of interconnect failures can render an entire multi-chiplet package unusable, leading to significant yield loss and increased manufacturing costs. Recent advances in finite-element defect modeling and built-in self-test (BIST) architectures have not only improved the understanding of interconnect failure mechanisms but have also demonstrated the potential for more adaptive and intelligent repair strategies that can better preserve system functionality.

Researchers at Arizona State University have developed PRISM (Priority-first Repair with Intelligent Spare Mapping), an innovative dynamic repair framework designed for chiplet-to-chiplet interconnects within fan-out wafer-level packaging (FOWLP). PRISM employs real-time rerouting of faulty signals, prioritizing critical signals through a built-in self-test (BIST) and a priority-based repair algorithm. This enables flexible spare reuse and strategic spare allocation without modifying the physical I/O layer, significantly improving repair coverage and package functionality in high-density semiconductor systems. This framework implements demonstrates scalability with low area and power overhead, making it suitable for advanced multi-chiplet systems.

PRISM represents a dynamic repair framework that enhances the reliability and yield of fan-out wafer-level packaging in multi-chiplet systems.

Potential Applications:

High-performance computing systems requiring reliable chiplet packaging
Automotive electronics with stringent reliability and safety standards
Aerospace systems demanding high resilience and lifetime performance
Advanced semiconductor packaging and assembly service providers
Chiplet integration platforms targeting scalable interconnect solutions

Benefits and Advantages:

Real-time fault detection and dynamic signal rerouting using BIST-generated fault signatures
Priority-based spare allocation ensuring critical signal repair first
Enhanced repair coverage without physical changes to I/O layers
Flexible spare reuse for improved resource utilization
Scalable and standards-compatible for diverse packaging applications
Improved system yield, resilience, and lifetime reliability

For more information about this opportunity, please see

Bhoumik et al - IEEE Trans. VLSI Syst - 2025

CD73-PROTACs for Cancer Therapy

dragos@northwestern.edu — Mon, 06 Jul 2026 10:03:31 GMT

SHORT DESCRIPTION
A novel first-in-class proteolysis targeting chimera (PROTAC) that selectively degrades CD73 to reverse tumor immune evasion and inhibit cancer progression.

INVENTORS

Bin Zhang*
- Northwestern University Feinberg School of Medicine, Department of Medicine (Hematology & Oncology)
Gary Schiltz*
- Weinberg College of Arts and Sciences, Department of Chemistry
Jie Fan
Jing Cao
Ping Xie

* Principal Investigator

NU Tech ID: NU 2025-256

IP STATUS
Provisional patent application filed

DEVELOPMENT STAGE
TRL-6, Prototype Demonstrated in Relevant Environment: Efficacy shown in humanized NSG mouse models of triple-negative breast cancer.

BACKGROUND

CD73, an enzyme found in the tumor microenvironment, significantly contributes to cancer progression via its enzymatic activity, which produces immunosuppressive adenosine, and via non-enzymatic mechanisms that support tumor cell adhesion, migration, and metabolic fitness. The presence of elevated CD73 is often linked to poor patient prognosis and resistance to existing immunotherapies. Current therapeutic strategies, such as small-molecule inhibitors and monoclonal antibodies, fail to comprehensively inhibit both the enzymatic and non-enzymatic functions of CD73, are unable to degrade the protein from both cell surface and intracellular compartments, and are susceptible to target rebound, thus compromising their overall clinical efficacy.

ABSTRACT

The novel CD73-PROTACs, exemplified by “C79”, are heterobifunctional molecules comprising a CD73-binding ligand linked to E3 ligase recruiters to induce CD73's ubiquitination and subsequent proteasomal degradation. This mechanism effectively depletes CD73 from both cell surface and intracellular compartments. In addition to abolishing its nucleotidase activity and reversing adenosine-mediated immunosuppression, CD79 also inhibits CD73's non-enzymatic functions, including NAD+ biosynthesis, tumor cell proliferation, migration, and adhesion. In pre-clinical models of breast cancer, C79 demonstrated in vivo efficacy, reducing tumor growth without detectable toxicity.

APPLICATIONS

Cancer immunotherapy: Targets CD73-driven immune evasion in various tumors.
Targeted cancer therapy: Independent of its immunomodulatory effects, the CD73-PROTAC disrupts tumor cell metabolism, migration, and adhesion.
Triple-negative breast cancer: Enhances antitumor response in aggressive cancers.
Therapy for other cancers with elevated CD73 expression.

ADVANTAGES

Comprehensive inhibition of both enzymatic and non-enzymatic functions of CD73
Enhanced immune activation: Reverses adenosine-mediated immunosuppression and boosts CD8⁺ T cell function.
Impairs tumor cell fitness: Reduces intracellular NAD⁺ levels and inhibits tumor cell proliferation, migration, and adhesion
Reduced potential for target rebound, leading to sustained therapeutic responses
Targeted approach with potential for lower dosing and reduced toxicity and adverse side effects compared to existing therapies

PUBLICATIONS

Xie et al., Dual Targeting of Nucleotidase-Dependent and -Independent Functions via PROTAC-Mediated CD73 Degradation. J. Med. Chem. (2026).

KEYWORDS

CD73, PROTAC, cancer therapy, immunotherapy, tumor microenvironment, CD8 T cell activation, targeted degradation, proteolysis-targeting chimera, targeted therapy, cancer, oncology

Novel Small Molecule Agents for Glioblastoma

techtransfer@buffalo.edu — Mon, 06 Jul 2026 08:42:10 GMT

Brain-penetrant small molecule agents possessing a dual targeting mechanism of action (LonP1 and CT-L proteasome inhibition) that may overcome resistance mechanisms that currently plague standard of care treatments for brain tumors such as glioblastoma.

Background:

Malignant astrocytomas, including glioblastoma (GBM), represent highly aggressive intracranial tumors with notoriously poor clinical outcomes due to the profound limitations of current standard-of-care therapies. GBM is characterized by near-universal recurrence following first-line treatment and, critically, no approved therapy currently exists to meaningfully extend survival once recurrence occurs. Existing treatments are limited and often fail due to the rapid emergence of resistance and the formidable obstacle of the blood-brain barrier, which severely restricts the penetration and accumulation of systemically administered drugs at the tumor site. Furthermore, these tumors exhibit remarkable adaptability, often hijacking intrinsic cellular survival mechanisms—such as mitochondrial stress responses and proteasomal protein degradation pathways—to mitigate proteotoxic stress and evade cell death. Consequently, the inability of conventional therapies to achieve adequate brain exposure while simultaneously overcoming these deeply entrenched, stress-adaptive resistance pathways remains a critical barrier to achieving durable tumor control in patients with malignant gliomas.

Technology Overview:

Researchers at the University at Buffalo have developed a series of brain-penetrant small molecules that dually target mitochondrial Lon peptidase 1 (LonP1) and chymotrypsin-like proteasome activity to treat malignant brain tumors such as GBM. Lon is overexpressed in human malignant gliomas and its elevated expression levels are associated with high glioma tumor grade and poor patient survival. Therefore, regulation of mitochondrial function by inhibiting Lon protease could represent a novel approach for GBM and potentially other fast-growing malignancies which heavily depend on hypoxic adaptation. Compared to existing treatments, which typically rely on DNA damage or anti-angiogenesis and frequently fail due to reasons relating to resistance and/or poor penetration, this novel approach, wherein these agents simultaneously drive lethal proteotoxic stress and mitochondrial dysfunction within tumor cells, may overcome key resistance mechanisms while achieving effective intracranial exposure for practical, outpatient tumor control.

https://buffalo.technologypublisher.com/files/sites/7779_inpart_image_thumbnail.jpg

Source: SciePro, https://stock.adobe.com/uk/22202817, stock.adobe.com

Advantages:

Ability to cross the blood-brain barrier
Dual targeting mechanism may limit resistance

Applications:

Glioblastoma multiforme
Malignant astrocytomas
Brain metastases
Tumors that depend on mitochondrial stress responses

Intellectual Property Summary:

Patent pending.

Stage of Development:

In vitro

Licensing Status:

Available for licensing or collaboration.

Publication link(s):

No publications to date.

Tools to Predict Clinical Immunogenicity

techtransfer@buffalo.edu — Mon, 06 Jul 2026 06:21:21 GMT

In vitro tools for predicting clinical immunogenicity of subcutaneously administered antigens, whether for therapeutic or prophylactic applications.

Background:

Immunogenicity, the propensity of a product to elicit an immune response to itself or related structures, may be desirable (e.g. vaccine candidates) or undesirable (e.g. therapeutic proteins). For the latter, immunogenicity has the potential to reduce or eliminate the therapeutic benefit it is intended to provide and may even lead to adverse clinical events. Because of its potential impact on safety and efficacy of therapeutic protein products, evaluation of a product’s immunogenicity is required by regulatory authorities (e.g. FDA and EMA). However, the predictive value of animal studies is low, and because immunogenicity can be based on product-, treatment- and patient-specific factors, evaluation of a product’s immunogenicity risk can be challenging to accurately assess prior to human clinical trials. In some cases, a product’s immunogenicity may not be fully known until after it has been approved and used in larger patient populations over extended periods of time. There is an unmet need for a reliable tool that can be used to more accurately predict both the likelihood and level of clinical immunogenicity prior to administration in human subjects.

Technology Overview:

This suite of tools, invented at the University at Buffalo, enables reliable measurement and prediction of an antigen’s immunogenic potential based on mechanism-based markers, namely to those specific to the subcutaneous route of administration.

One tool (030-7497) provides a stimulation index as well as an indication of immune cell migratory potential, both of which can be measured against a control and compared to those of approved therapeutic proteins. To date, the tool has been demonstrated with multiple proteins, including adalimumab (Humira™), emicizumab (Hemlibra™) and the SARS-CoV-2 spike subunit 1 ‘S1’ protein, and the relative immunogenicity of each reflects that seen in the clinic.

The second tool (030-7816) provides a microphysiological platform (i.e. skin-on-a-chip) that mimics the multistep immune activation cascade, more accurately reflecting the coordinated sequence of antigen uptake, processing, presentation, co-stimulation and effector amplification that ultimately drives antigen-specific antibody formation.

https://buffalo.technologypublisher.com/files/sites/7816_inpart_image1.jpg

Please note, header image is purely illustrative. Source: stock.adobe.com

Advantages:

Ability to predict clinical immunogenic response prior to administration in a human subject
Provides mechanistic insights into the driver(s) of immunogenicity
Can be generalized to a patient population or tailored to predict immunogenicity on a subject-by-subject basis

Applications:

Biomedical Research
Drug and Vaccine Development
Personalized Medicine

Intellectual Property Summary:

Patent pending.

Stage of Development:

In vitro.

Licensing Status:

Available for licensing or collaboration.

Publication link(s):

030-7497: Communications Medicine volume 3, Article number: 174 (2023)
030-7816: unpublished

Removal and Destruction of mixtures of PFAS by Coupling Magnetic Modified Clay and Photoreductive Degradation

IEA@rfsuny.org — Fri, 03 Jul 2026 09:39:04 GMT

A special magnetic clay adsorbs and then destroys PFAS pollutants upon exposure to UV light and chemicals, offering nearly complete removal, reusability, and a more sustainable, cost-effective alternative to traditional water treatment methods.

Background:
Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals widely used in industrial applications and consumer products due to their resistance to heat, water, and oil. However, their chemical stability also makes them persistent environmental pollutants, earning them the nickname "forever chemicals." PFAS contamination in water sources has become a significant public health concern, as these substances have been linked to adverse health effects including cancer, immune system disruption, and developmental issues. The growing awareness of PFAS toxicity and their widespread detection in drinking water, soil, and even food supplies has driven regulatory agencies to set stringent limits on PFAS concentrations, necessitating the development of effective and sustainable remediation technologies. Current approaches to PFAS remediation, such as activated carbon adsorption and ion-exchange resins, primarily focus on removing PFAS from water but do not destroy the compounds, leading to secondary waste streams that require further management. These methods often exhibit limited effectiveness for short-chain PFAS and can suffer from reduced adsorption capacity in the presence of competing contaminants. Additionally, the regeneration of conventional adsorbents can be costly, energy-intensive, and may not fully restore their performance, resulting in frequent replacement and increased operational costs. Advanced oxidation and reduction processes capable of degrading PFAS often demand harsh conditions, specialized equipment, or generate toxic byproducts, further complicating their practical implementation. As a result, there is a pressing need for remediation solutions that not only efficiently remove a broad spectrum of PFAS but also facilitate their destruction and allow for sustainable reuse of treatment materials.

Technology Overview:
This technology employs a two-step process using magnetically modified clay (MMC) to remediate per- and polyfluoroalkyl substances (PFAS) from contaminated water. The MMC is synthesized by modifying montmorillonite K10 clay, resulting in a material with strong magnetic properties and enhanced PFAS adsorption capacity. In the first step, the MMC rapidly adsorbs a wide range of PFAS compounds—including regulated variants like PFBS, GenX, PFHxS, PFOS, PFOA, and PFNA—achieving nearly complete removal within 48 hours, even at low concentrations. The second step involves photoreductive degradation, where the PFAS-laden MMC is exposed to UVC light in the presence of reductants at alkaline pH, effectively breaking down the adsorbed PFAS. The process is further optimized by adjusting reductant concentrations and pH, and the MMC can be regenerated and reused through a simple extraction and re-treatment procedure. What differentiates this solution is its integrated approach, combining high-efficiency adsorption with in-situ destruction of PFAS, addressing a major limitation of conventional adsorbents like activated carbon or ion-exchange resins, which typically only capture PFAS without degrading them. The magnetic property of the clay allows for easy separation from treated water, while the regenerability of MMC ensures long-term cost-effectiveness and sustainability. The system demonstrates superior removal rates for multiple PFAS types, maintains performance over multiple cycles, and minimizes secondary waste generation. Analytical studies confirm the process’s effectiveness. Overall, this technology offers a robust, scalable, and environmentally friendly solution for PFAS remediation, setting it apart from traditional methods by integrating removal, destruction, and adsorbent reuse in a single platform.

https://suny.technologypublisher.com/files/sites/adobestock_1540033156.jpeg
Photo for reference only, not a depiction of the invention.

Advantages:
•   Achieves nearly 100% removal of various PFAS compounds within 48 hours at environmentally relevant concentrations
•   Combines effective adsorption with photoreductive degradation to both remove and destroy PFAS
•   Magnetically modified clay (MMC) is regenerable and reusable without significant loss of performance
•   Outperforms conventional adsorbents like activated carbon and ion-exchange resins in PFAS remediation
•   Optimized photodegradation conditions enhance defluorination efficiency and degradation rates
•   Applicable to multiple regulated PFAS compounds, including, but not limited to PFBS, GenX, PFHxS, PFOS, PFOA, and PFNA
•   Offers a sustainable and cost-effective approach to PFAS treatment

Applications:
•   Industrial wastewater PFAS remediation
•   Municipal drinking water treatment
•   Groundwater PFAS contamination cleanup
•   Landfill leachate PFAS removal

Stage of Development:
Inquire for more information

Licensing Status:
This technology is available for licensing.

Système de chauffage radiant ponctuel et localisé pour procédé de dépôt par filament fondu

innovation@axelys.ca — Fri, 03 Jul 2026 06:40:58 GMT

THERMALLY CONTROLLED ADDITIVE MANUFACTURING PRINTHEAD FOR HIGH-PERFORMANCE PARTS

Unlocking the full potential of additive manufacturing without extra cost

Coalia

UNMET NEED

Mechanical integrity is an ongoing challenge for 3D printed parts. Compared to injection molding, parts manufactured by FDM suffer from a high degree of anisotropy, due to the lack of adhesion of the layers to each other, and therefore a general reduction in mechanical properties, which hinders the adoption of this type of manufacturing process at a reasonable cost.

TECHNOLOGY OVERVIEW

This technology is a radiant heating system (RHS) that can be installed around the nozzle of a 3D printer using fused deposition modeling (FDM). The RHS enables the manufacturing temperature to be raised locally above the glass transition temperature of the polymer, promoting better interlayer adhesion and improving the mechanical properties of the printed part. Key benefits include:

1- Improved mechanical properties and reduced porosity and anisotropy of printed parts

2- In-process annealing and warping control

3- Easy integration on existing 3D printers

4- Reduction of production cost

What if you could replace your 400k$ 3D printer with a 60k$ model and get better quality parts?

The RHS transforms low- and mid-range FDM 3D printers designed for rapid prototyping into high-performance printers capable of producing functional parts with less porosity and isotropic mechanical properties comparable to high-end printers.

Figure 1 : Performance comparision

TECHNOLOGY READINESS LEVEL (TRL)

Beta prototypes manufactured and validated
Demonstrated performance tests with multiple materials
Demonstrated compatibility with several commercial 3D printers

COMPETITIVE ADVANTAGES

Improved mechanical properties for 3D printed parts
Scalable to large print area
Adjustable for different printhead sizes, including very small extruders
Low manufacturing cost

MARKET APPLICATIONS

FDM additive manufacturing
3D printer upgrades and accessories
Large-scale 3D printing
High-performance polymers (HPPs).
Hybrid manufacturing

PUBLICATIONS

BUSINESS OPPORTUNITY

Technology available for in-licensing
Seeking for industrial partner for co-development
Eligibility to government financing for industry/academic maturation program

SYSTÈME RADIANT POUR IMPRESSION DE PIÈCES À HAUTE PERFORMANCE

Libérer le potentiel de la fabrication additive sans coût supplémentaire

Coalia

BESOIN NON SATISFAIT

L’intégrité mécanique demeure un défi constant pour les pièces imprimées en 3D. Par rapport au moulage par injection, les pièces fabriquées par FFF présentent une forte anisotropie en raison de la faible adhérence entre les couches, ce qui entraîne une baisse générale des propriétés mécaniques et freine l’adoption de ce procédé de fabrication à un coût raisonnable.

APERÇU DE LA TECHNOLOGIE

La technologie est constituée d’un système de chauffage radiant annulaire monté sur le bloc chauffant d’une imprimante FFF/FDM standard. Le système radiant permet de maintenir localement la température d’impression à une valeur optimale afin de promouvoir l’adhésion entre les couches et d’améliorer les propriétés mécaniques de la pièce imprimée.

Amélioration des propriétés mécaniques et réduction de la porosité et de l’anisotropie des pièces imprimées
Recuit en cours de procédé et contrôle du gauchissement
Intégration facile avec des imprimantes existantes
Réduction des coûts de production

Et une imprimante 3D de 60 000$ pouvait produire des pièces de meilleure qualité qu’une imprimante à 400 000$ ?

Le système de chauffage radiant permet de transformer les imprimantes 3D de gamme basse et moyenne, conçues pour le prototypage rapide, en imprimantes haute performance capables de produire des pièces fonctionnelles avec une porosité réduite et des propriétés mécaniques isotropes comparables à celles des imprimantes haut de gamme.

Figure 1 : Comparaison des performances mécaniques

NIVEAU DE MATURITÉ TECHNOLOGIQUE

Prototypes bêta fabriqués et validés
Démonstration des performances d’impression avec plusieurs matériaux
Démonstration de la compatibilité du système avec plusieurs modèles d’imprimantes.

AVANTAGES CONCURRENTIELS

Amélioration des performances des pièces en impression 3D
Adaptable aux grandes surfaces d’impression
Réglable pour différentes tailles de têtes d’impression, y compris les extrudeurs de très petite taille
Faible coût de fabrication

MARCHÉS VISÉS

Fabrication additive FFF (FDM)
Accessoires et amélioration pour imprimantes 3D
Impression 3D à grande surface
Polymères haute performance (HPP)
Fabrication hybride

PUBLICATIONS

OCCASION D’AFFAIRES

Technologie disponible pour l’octroi de licences
Recherche d’un partenaire industriel pour le codéveloppement
Admissibilité au financement gouvernemental pour le programme de maturation de l’industrie et du milieu universitaire

Julien Longchamp, P.Eng., M.A.Sc.

Director of Transfer

Julien.Longchamp@axelys.ca

Julien Longchamp, ing., M.Sc.A.

Directeur de Transfert

Julien.Longchamp@axelys.ca

NONDESTRUCTIVE IMAGING USING A SPLIT-RING RESONATOR SENSING APPARATUS

heguangm@msu.edu — Thu, 02 Jul 2026 08:14:14 GMT

VALUE PROPOSITION
With advances in sensors, numerical modeling, image processing, and material science, a diverse range of diagnostic and prognostic techniques are being developed for assessing structural integrity and reliability. Split-ring resonators (SRRs) have been used in the design of metamaterials, largely due to their frequency selective behavior. Specifically, SRRs behave as sub-wavelength resonators when excited by a time-varying magnetic field perpendicular to the plane of the SRRs. Thus, SRRs are able to inhibit signal propagation in a narrow band, close to their resonant frequency. SRRs can be modeled as LC resonant tanks, with a resonant frequency dependent on the SRR unit cell parameters, such as ring size, width, and edge gaps. When excited by a microstrip transmission line, SRRs have demonstrated great potential for bio-sensing applications. The dielectric coupling due to the presence of biomolecules lead to a shift of resonance frequency, which can be utilized for bio-sensing.

DESCRIPTION OF TECHNOLOGY

In this technology a defect sensing apparatus is configured to identify defects or targets in materials. The defect sensing apparatus includes a microstrip transmission line along a length of the defect sensing apparatus and a reference split-ring resonator coupled to the microstrip transmission line. The reference split-ring resonator is located on a reference side of the microstrip transmission line. The defect sensing apparatus includes a first sensing split-ring resonator coupled to the microstrip transmission line. The first sensing split-ring resonator is located on a sensing side of the microstrip transmission line. The defect sensing apparatus includes a second sensing split-ring resonator coupled to the microstrip transmission line. The second sensing split-ring resonator is located on the sensing side of the microstrip transmission line. The microstrip transmission line is configured to excite the reference split-ring resonator, the first sensing split-ring resonator, and the second sensing split-ring resonator. The first sensing split-ring resonator and the second sensing split-ring resonator are configured to scan a sample.

BENEFITS

Enhanced Structural Integrity Assessment: The use of SRRs in metamaterials allows for a more accurate assessment of a material's structural integrity, enabling early detection of potential issues.
Improved Reliability: By employing SRRs in diagnostic and prognostic techniques, the reliability of materials can be improved, as potential defects or targets can be identified and addressed before they lead to failure.
Sub-wavelength Resonance: SRRs can behave as sub-wavelength resonators, allowing for precise control over signal propagation and enabling the inhibition of signal propagation in a narrow band close to their resonant frequency.
Flexible Design: The design of SRRs can be tailored by adjusting parameters such as ring size, width, and edge gaps, allowing for a wide range of applications and customization based on specific requirements.
Real-time Monitoring: The defect sensing apparatus can be used for real-time monitoring of materials, enabling immediate detection of defects or targets and allowing for prompt corrective action.
Data-driven Analysis: The defect sensing system can store and analyze frequency data over time, providing valuable insights into the material's behavior and enabling data-driven decision-making for maintenance and repair strategies.
Compact and Lightweight: SRR-based diagnostic and prognostic techniques can be integrated into compact and lightweight systems, making them suitable for use in various applications, including aerospace, automotive, and structural health monitoring.
Cost-effective: The use of SRRs in diagnostic and prognostic techniques can lead to cost-effective solutions, as they can help reduce the need for expensive and time-consuming inspections and repairs.
Versatility: The versatility of SRR-based diagnostic and prognostic techniques allows for their application across a wide range of materials and industries, making them a valuable tool for ensuring safety, reliability, and longevity in various applications.

APPLICATIONS

Structural Health Monitoring
Aerospace Industry
Automotive Industry
Energy Sector
Biomedical Devices
Electronics and Semiconductors
Manufacturing and Quality Control

IP Status

US Patent 11,137,359

LICENSING RIGHTS AVAILABLE

All Licensing rights available

Inventors: Lalita Udpa, Satish Udpa and Saptarshi Mukherjee

Tech ID: TEC2018-0159

For more information about this technology,

Contact Jon Debling, Ph.D. at deblingj@msu.edu or +1-517-884-1653

MAPPING AND LOCALIZATION SYSTEM FOR AUTONOMOUS VEHICLES

heguangm@msu.edu — Thu, 02 Jul 2026 07:45:18 GMT

VALUE PROPOSITION

A fundamental task for autonomous vehicles is to accurately determine its position at all times. Multiple key sub-systems rely either fully or partially on the performance of the localization algorithm. It has been estimated that decimeter level localization accuracy is required for autonomous vehicles to drive safely and smoothly. GNSS-based (Global Navigation Satellite System) techniques struggle to achieve this level of accuracy except for open sky areas. Map-based localization frameworks, especially those that utilize Light Detection and Ranging (LiDAR) based localization methods, are popular because they can achieve centimeter level accuracy regardless of light conditions. However, a key drawback of any localization method that relies on 3D point-cloud maps is the enormous size of the map itself. Consequently, there is a need for efficient representations of such maps while maintaining high-accuracy localization capabilities. The representation format should contain sufficient information for vehicles to localize and be lightweight (i.e., low storage) enough to be stored and downloaded into vehicles in real-time when needed. Furthermore, it is important to note that environments do change rather frequently, and it is therefore important to have the ability to update the map to reflect these changes.

DESCRIPTION OF TECHNOLOGY

The proposed mapping framework requires less than 0.1% of the storage space of the original 3D point cloud map. In essence, mapping framework emulates an original map through feature likelihood functions. In particular, the mapping framework models planar, pole and curb features. These three feature classes are long-term stable, distinct and common among vehicular roadways. Multiclass feature points are extracted from LiDAR scans through feature detection. A new multiclass-based point-to-distribution alignment method is also used to find the association and alignment between the multiclass feature points and the map.

BENEFITS

Enhanced Localization Accuracy: The proposed technology enables centimeter-level localization accuracy, which is crucial for safe and smooth autonomous vehicle navigation.
Reduced Storage Requirements: The technology requires less than 0.1% of the storage space of the original 3D point cloud map, making it highly efficient for storage and transmission in city-scale environments.
Real-time Alignment: The system features an efficient and robust real-time alignment algorithm for on-vehicle LiDAR scans, allowing for quick and accurate mapping of the environment.
Adaptability to Changing Environments: The lightweight nature of the proposed map representation allows for easy updates to reflect changes in the environment, ensuring the system remains accurate and reliable.
Versatility in Lighting Conditions: Unlike GNSS-based techniques, the proposed mapping framework can achieve high-accuracy localization regardless of light conditions, making it suitable for various environments.
Improved Safety and Efficiency: By providing accurate vehicle localization, the technology contributes to the overall safety and efficiency of autonomous vehicles, as multiple key subsystems rely on the performance of the localization algorithm.

APPLICATIONS

Autonomous Vehicles
Indoor Navigation Systems
Augmented Reality and Virtual Reality
Robotics
Smart Cities
Disaster Response and Recovery

IP Status

US Patent 11,790,542

LICENSING RIGHTS AVAILABLE

All Licensing rights available

Inventors: Hayder Radha, Daniel Morris and Su Pang

Tech ID: TEC2019-0119

For more information about this technology,

Contact Jon Debling, Ph.D. at deblingj@msu.edu or +1-517-884-1653

AAV Vector-Based Anti-Inflammatory Therapeutic for Macular Degeneration and Other Tissue-Specific Inflammatory Diseases

saradagen@ufl.edu — Thu, 02 Jul 2026 07:23:49 GMT

Gene Therapy Vectors Deliver Secretable, Cell-Penetrating Viral Therapeutics to Targeted Host Cells

This AAV vector-based therapeutic treats inflammatory responses in mammals by delivering tissue-specific anti-inflammatory therapeutic proteins to targeted host cells. These transvected host cells then inhibit a variety of pro-inflammatory syndromes, which cause or exacerbate diseases and disorders caused by chronic inflammation. AAV vector-based gene therapy is useful in treating a number of diseases, including congestive heart failure, Parkinson’s disease, and hemophilia, by delivering therapeutics to targeted cells. Unfortunately, no available treatments combat tissue-specific inflammation, such as dry age-related macular degeneration. Age-related macular degeneration affects as many as 11 million people with global cost of visual impairment at $343 billion in the United States alone. University of Florida researchers have developed AAV vector constructs that are optimized for delivering anti-inflammatory peptides to selected mammalian cells and tissues. This tissue-specific treatment addresses symptoms of oxidative stress and inflammation by delivering secretable, cell-penetrating anti-inflammatory proteins to treat specific inflammatory diseases, such as dry age-related macular degeneration.

Application

AAV vectors deliver modified viral protein as tissue-specific therapy for chronic inflammation

Advantages

Delivers viral proteins to host cells, providing gene therapy treatment for inflammation
Delivers gene product directly to affected cells, increasing chance it can be used for many other tissue-specific inflammatory diseases
Targets two key pro-inflammatory signaling pathways within cells, giving it the capacity to treat diseases over prolonged period of time

Technology

AAV vector-based therapy has been utilized in treating a number of genetic diseases; however, gene therapy has not traditionally been used to treat inflammatory diseases. This tissue-specific method of treating inflammation targets inflammatory responses by administering AAV vectors coupled with secretable, cell-penetrating anti-inflammatory proteins derived from viruses. These modified viral proteins penetrate target host cells; these suitably-transvected host cells then inhibit the key cellular inflammatory pathways that cause or exacerbate a variety of chronic progressive diseases, disorders, and conditions. Researchers have used this AAV vector-based therapy to treat dry age-related macular degeneration as an example of the therapy’s use in inhibiting pro-inflammatory responses in a number of mammalian diseases.

Phytate-Degrading and Mineral Absorption Increasing Probiotics

cabrigo@usf.edu — Thu, 02 Jul 2026 05:25:54 GMT

Advantages

Breaks down phytate to unlock essential minerals for better absorption
Human-origin strain uniquely designed to enhance gut mineral bioavailability
Supports immune health, bone strength, and healthy aging outcomes
Versatile delivery as a supplement, capsule, powder, or fortified food

Summary

Mineral deficiencies remain a widespread and underappreciated health burden. Phytate, a compound prevalent in plant-based foods, binds to essential minerals like calcium, iron, and zinc in the gut, blocking their absorption. This leads to serious conditions including anemia, weakened immune function, and deteriorating bone and joint health, particularly affecting those on plant-based diets and aging populations.

This invention introduces a human-origin probiotic uniquely designed to degrade phytate and enhance mineral bioavailability, enabling the body to effectively absorb and utilize vital nutrients from food. Unlike existing probiotic approaches, its human-origin design gives it a distinct advantage in gut compatibility and targeted function. The technology addresses an urgent unmet need and is well suited for commercialization as a dietary supplement, probiotic capsule, powder, or ingredient in fortified functional foods, with broad appeal across health-conscious consumers, clinical settings, and the aging population.

Schematic illustration of the four-step mechanism by which the human-origin phytate-degrading probiotic enhances mineral absorption in the gut. The probiotic secretes phytase enzyme that hydrolyzes phytate found in plant-based foods.

Desired Partnerships

License
Sponsored Research
Co-Development

Soft Robotic Hip Exosuit (SR-HExo)

ip@skysonginnovations.com — Wed, 01 Jul 2026 21:20:07 GMT

Because the hip joint provides about 40-50 percent of the total average positive power for walking, injuries to this joint, or to the spine, can have a drastic impact on walking capabilities. Between total hip replacements, stroke, and other gait deteriorating injuries, there is already a significant population of patients with mobility deficits involving the hip joint.

Devices that provide assistance to the hip, such as exosuits and exoskeletons, can improve ambulatory motions, including walking. While there has been continued development in this area of research in the past decade, current designs are still complicated, heavy and often expensive.

Researchers at Arizona State University have designed a soft robotic hip exosuit to assist human walking in hip flexion and extension. This exosuit mimics the shape and behavior of the gluteus maximus, semimembranosus and biceps femoris during extension, and the iliacus, rectus femoris and vastus medialis during flexion. The fabric portion of the suit structure is compliant so that forces are applied in a gentle ramp in assistance of motion to ensure user comfort.

The novel design and use of soft and pliable materials in this exosuit allow it to reduce muscle activation while still moving freely with the wearers natural range of motion.

Potential Applications

Hip flexion and extension assistance
- Rehabilitation from stroke or other hip injuries

Benefits and Advantages

Comfortable – soft and compliant materials
Lower cost compared to similarly rigid systems
Lightweight and form fitting – can easily be worn over pants or shorts
Forces are applied in a gentle ramp in assistance for timely actuation and user comfort
Maximized user ROM in flexion and extension to prevent hip abduction and maintain a low profile
Contains minimal moving parts to prevent risk of pinching or shear injuries

For more information about this opportunity, please see

Thalman et al - IEEE RSJ IROS - 2021

For more information about the inventor(s) and their research, please see

Dr. Lee's departmental webpage

Dr. Lee’s laboratory webpage

Integrated Optical Wave Processors

JianlingL@tla.arizona.edu — Wed, 01 Jul 2026 15:46:49 GMT

This invention describes how to build an integrated optical tensor processor using volume holography and guided-wave systems to enable more efficient implementation of large-scale tensor operations, with the potential for up to 1,000 times improved power efficiency compared to conventional processing speeds.

Background:
Modern computing is increasingly relying on manipulating large, high dimensional data structures. Tensor operations are mathematical procedures used to manipulate multidimensional arrays, which are becoming more central to modern computing, but executing these operations at scale places strain on conventional electronic architectures due to power consumption, data movement, and latency limitations. There is a growing need for alternative computing paradigms that can handle massive parallelism and high bandwidth. Diffractive systems may enable efficient mode-conserving tensor operators and offer a way to accelerate core computational tasks while alleviating energy and throughput bottlenecks that increasingly constrain modern systems.

Applications:

Computing
Machine learning
Signal processing
High-performance scientific computing
Telecommunications

Advantages:

Power efficient
High speed
Scalable
Coherence

Single beam plasma source

heguangm@msu.edu — Wed, 01 Jul 2026 13:36:11 GMT

VALUE PROPOSITION

Multiple products have a need for precise surface treatment and thin film deposition with enhanced performance, durability, and efficiency. Various products, from semiconductor devices and solar panels to sensors could benefit. By providing tailored surface properties and superior control over material deposition, ion sources contribute to improved functionality, reduced manufacturing costs, and extended product lifecycles. Improved technology empowers manufacturers to develop solutions that meet the evolving demands of their respective markets, ultimately driving innovation and competitive advantage.

DESCRIPTION OF TECHNOLOGY

This ion source technology is a cutting-edge surface treatment and thin film deposition method that modifies the surface properties of materials. By employing high-energy ions, this technique enables precise control over the deposition process, allowing for the creation of tailored surface characteristics, such as improved adhesion, conductivity, or wear resistance. The versatility of this ion source technology makes it applicable across various industries, including electronics, solar energy, automotive, and aerospace, where enhanced performance and durability are critical. The technology is a cost-effective and efficient alternative to traditional surface treatment methods.

BENEFITS

Enhanced Surface Reactions
Improved Thin Film Deposition
Surface Roughness Modulation
Reduced Film Damage
Improved Maintenance
Compatibility with Various Gases
Single Beam Control

APPLICATIONS

Semiconductor Manufacturing
Display Production
Solar Panel Fabrication
Sensors
Micro-Electro-Mechanical Systems (MEMS

IP Status

US Patent 12,165,829

LICENSING RIGHTS AVAILABLE

All Licensing rights available

Inventors: Qi Hua Fan

Tech ID: TEC2019-0123

For more information about this technology,

Contact Ken Foster, Ph.D. at foste462@msu.edu or +1-517-884-0719

Monoclonal Antibody (RO4) that Reacts with the Juxta-membrane Region of Mesothelin

nihott@nih.gov — Wed, 01 Jul 2026 13:04:13 GMT

Summary:

The National Cancer Institute (NCI) seeks research co-development partners and/or licensees for a novel monoclonal antibody (mAb), RO4, that can be used to treat mesothelin (MSLN) expressing cancers.

Description of Technology:

Mesothelin (MSLN) is a surface antigen highly expressed in many solid tumors, such as mesothelioma, ovarian, and pancreatic cancers. MSLN is present at relatively low levels in mesothelial cells of healthy individuals, making it an ideal candidate for targeted therapeutics. However, the efficacy of MSLN-targeted agents is often reduced as a portion of the protein is shed from the cell surface and binds to available anti-MSLN antibodies. This reduces therapeutic engagement at the cell surface as shed MSLN acts as a decoy within tumor microenvironments, limiting antibodies from reaching and destroying tumor cells.

Researchers at National Cancer Institute (NCI) developed a novel mAb, RO4, which specifically binds to the juxta-membrane region of MSLN to block shedding. RO4 binds to the same region of MSLN as a previously developed mAb, 15B6 (NCI Ref. #E-106-2017), but in a different conformation. This allows for increased binding affinity and specificity. CAR-T cells made with humanized RO4 demonstrated higher cytotoxicity both in vitro and in vivo compared to h15B6 CAR-Ts. Additionally, hRO4 exhibited broader binding across MSLN-positive cell types compared to h15B6, suggesting wider utility in patient populations.

Researchers at the NCI seek licensing and/or co-development research collaborations for further development of RO4 that can be used to treat MSLN-positive cancers.

Potential Commercial Applications:

Treatment of various MSLN-positive cancers – including mesothelioma, ovarian and pancreatic cancer
Development of CAR T cells and bispecific antibodies to target MSLN and CD3
Development of Antibody-Drug Conjugates (ADCs) and Antibody-nanoparticle conjugates to deliver cytotoxic payloads to MSLN-positive tumors

Competitive Advantages:

Increased therapeutic effectiveness via avoiding shed decoy interference
Enhanced binding affinity and selectivity compared to earlier antibodies
Improved cytotoxicity across various MSLN-positive tumors
Versatility in use of CAR T cells and bispecific antibodies targeting MSLN and CD3

Gallium Indium Nitride Nanocrystals

heguangm@msu.edu — Wed, 01 Jul 2026 12:08:54 GMT

VALUE PROPOSITION

Gallium Nitride (GaN) nanoparticles exhibit superior electrical conductivity, high electron mobility, and a wide bandgap, making them ideal for enhancing the performance of LEDs, high power electronics, and photovoltaic cells. Their unique characteristics also enable the development of highly sensitive sensors, flexible electronics, and advanced lasers for telecommunications and medical treatments. GaN nanoparticles' biocompatibility and optical properties can be leveraged in medical coatings and photodetectors, contributing to improved healthcare solutions. By harnessing the potential of GaN nanoparticles, industries can drive innovation and progress in multiple sectors.

DESCRIPTION OF TECHNOLOGY

Gallium Nitride (GaN) nanoparticles represent a cutting-edge technology that leverages the exceptional electrical, optical, and thermal properties of this semiconductor material. With their high electron mobility, wide bandgap, and superior thermal conductivity, GaN nanoparticles are applicable to various sectors, including electronics, telecommunications, energy, and healthcare. Their application in LEDs, power electronics, photovoltaic cells, and sensors leads to more efficient, compact, and high-performance devices.

BENEFITS

Enhanced Device Performance: The use of GaN nanoparticles can lead to improved performance in light emitting diodes, high power electronics, and ultraviolet sensors due to their unique properties such as high electron mobility and wide bandgap.
Cost Efficiency: The development of low-cost methods for fabricating GaN nanoparticles can significantly reduce the overall cost of manufacturing devices that utilize these materials.
Elimination of Defects: By restricting crystal growth to very small domains, defects can be limited and/or passivated, thereby improving the quality of the resulting GaN nanocrystals and the devices they are used in.
Novel Device Manifestations: The use of GaN nanoparticles opens up possibilities for creating novel devices such as stretchable and flexible architectures, which can be beneficial in various applications.
Wide Range of Applications: The nanoparticles can be incorporated into a variety of devices including diodes, circuits, sensors, rectifiers, photocouplers, photocatalysts, catalysts, photovoltaic cells, photodetectors, photoconductors, light emitting diodes (LEDs), lasers, memories, transistors, coatings, and medical coatings, demonstrating their broad applicability.
Enhanced Device Stability: The use of GaN nanoparticles can potentially lead to more stable devices due to their high thermal conductivity and resistance to defects, which can improve the longevity and reliability of the devices.
Scalability: The proposed method for fabricating GaN nanoparticles is scalable, making it feasible for large-scale production of these materials for various applications.

APPLICATIONS

Light Emitting Diodes (LEDs
High Power Electronics
Photovoltaic Cells
Sensors
Ultraviolet (UV) Sensors
Flexible Electronics
Lasers
Photodetectors

IP Status

US Patent 12,258,505

LICENSING RIGHTS AVAILABLE

All Licensing rights available

Inventors: Richard Lunt, Rebecca Anthony, Alexander Ho and Rajib Mandal

Tech ID: TEC2020-0039

For more information about this technology,

Contact Jon Debling, Ph.D. at deblingj@msu.edu or +1-517-884-1653

Apparatuses and Methods for Synthesizing Compounds

cabrigo@usf.edu — Wed, 01 Jul 2026 12:07:38 GMT

Advantages

Delivers critical compounds on demand, overcoming supply chain limits in remote areas.
Compact, modular, lightweight design allows fast transport, assembly, and operation anywhere.
Shielding and filtration ensure safe operation with manual or automated control options.
Synthesizes diverse compounds impossible on Earth, dispensed as powders, pellets, or pills.

Summary

Pharmaceutical manufacturing in space missions and remote disaster zones faces a critical gap. Traditional supply chains are too slow, causing sensitive drugs to degrade before reaching those who need them most. Bulky, gravity reliant lab equipment cannot function in microgravity, leaving isolated crews and emergency responders without reliable access to life saving medications exactly when immediate, on demand synthesis matters most.

This technology stands apart through its unique ability to operate in microgravity and extreme remote settings. Unlike bulky traditional laboratory equipment, this compact, modular system enables on demand production of sensitive pharmaceuticals that would otherwise degrade, bypassing conventional supply chains entirely. Built with advanced shielding materials and self-contained filtration, it ensures safety within closed habitats while remaining compact enough for space missions. By making it possible to synthesize novel compounds that gravity prevents on Earth, it offers unmatched versatility for orbital research and emergency response.

Image of device

Desired Partnerships

License

MONITORING PATIENTS FOR AORTIC ANEURYSMS

heguangm@msu.edu — Wed, 01 Jul 2026 08:00:51 GMT

VALUE PROPOSITION

Aortic aneurysm, which are potentially life-threatening bulges in the aorta, often go unnoticed until it reaches a critical stage. By enabling early detection, healthcare providers may intervene promptly, potentially saving lives and reducing the risk of catastrophic rupture. Cost-effectiveness and scalability are important for widespread screening. Ultimately, this technology not only enhances patient outcomes but also contributes to the overall efficiency and effectiveness of healthcare systems.

DESCRIPTION OF TECHNOLOGY

This technology is a non-invasive, highly accurate method for detecting aortic aneurysms. Utilizing advanced imaging techniques, this technology enables early detection of these conditions, allowing for timely intervention and significantly improving patient outcomes. It offers a cost-effective solution for widespread screening, making it accessible to a larger population. By providing high accuracy in detecting aneurysms and assessing their risk of rupture, this technology aids in personalized screening programs and has the potential to substantially reduce mortality rates associated with aortic aneurysms.

BENEFITS

Early Detection
Non-Invasive
Cost-Effective
High Accuracy
Risk Assessment
Personalized Screening Programs
Improved Mortality Rates

APPLICATIONS

Early Detection and Surveillance
Cost-Effective Screening
Risk Assessment
Personalized Screening Programs
Population Screening Programs

IP Status

US Patent 12,661,015

LICENSING RIGHTS AVAILABLE

Licensing rights available

Inventors: Ramakrishna MUKKAMAL, Mohammad YAVARIMANESH and Jin-Oh HAHN

Tech ID: TEC2020-0159

For more information about this technology,

Contact Jon Debling, Ph.D. at deblingj@msu.edu or +1-517-884-1653

Highly Selective, Bioengineered Cytokine Reduces Inflammation For Prevention Of Heart Failure After Heart Attack

lbricha@upenn.edu — Wed, 01 Jul 2026 07:51:23 GMT

Targeted delivery of an anti-inflammatory cytokine to prevent heart failure after myocardial infarction.
Problem:
Heart failure (HF) is one of the leading causes of death worldwide and is expected to affect more than eight million people in the US by 2030. Myocardial infarctions (MIs) are the leading cause of HF due to excessive inflammation caused by MIs. Interleukin-4 (IL-4) is a cytokine that reduces inflammation and can potentially mitigate HF after MI, but systemic delivery can lead to off-target toxicity in surrounding tissues. Therefore, there is a need for therapeutics that sequester IL-4 to infarction sites.
Solution:
The inventors developed a protein complex called LMJ2.5I-IL4 that delivers IL-4 to myocardial infarction sites with minimal off-target effects. Targeted delivery of IL-4 increases local inflammation and efferocytosis by immune cells which reduces infarct size, reduces fibrosis, improves heart function, and prevents HF.
Technology:
The inventors fused IL-4 to LMJ2.5I, a custom nanobody that targets a fibronectin variant expressed in infarcted tissue. Using a gold-standard mouse model of MI, the inventors demonstrated that their technology delivers IL-4 to infarctions with little off-target effects. This high-precision delivery of IL-4 polarizes local immune cells towards protecting against HF.
Advantages:

Provides significantly increased delivery of therapeutic to infarcts in a coronary artery ligation (LAD) mouse model of MI
Improves left ventricular ejection fraction (45% versus 29% in control group) in mouse model of MI
Decreases fibrosis (33% relative to control group) in mouse model of MI
Increases reparative monocytes and macrophages at the infarction site in a mouse model of MI

Stage of Development:

Target Identified
Preclinical Discovery
IND Enabling Studies

Fn-EIIIB targeted IL-4 immunocytokine improves long-term cardiac function after MI. a., Experimental outline. C57BL/6 mice were subjected to permanent coronary artery ligation (MI) or sham surgery and treated with either saline, NJT6-IL4, or LMJ2.5I-IL4 on days 3, 5, and 7 after surgery (n = 9-18 mice per treatment group after MI, n = 8 mice for Sham). b.-d., (b) Left ventricular end-diastolic volume, (c) end-systolic volume, and (d) ejection fraction on day twenty-eight after surgery. Data, shown as mean+/- S.D., were analyzed by one-way ANOVA and Tukey’s post hoc test. e., Representative parasternal long axis views of the left ventricles (outlined) in systole and diastole on day twenty-eight. Scale bar is 1 mm. f., Representative Picrosirius Red stained cardiac cross sections on day twenty-eight. Scale bar is 1 mm. g., Quantification of left ventricular wall thickness (n = 3 mice per group, 6-7 cross sections per mouse were analyzed). Data, shown as mean +/- S.D., were analyzed by one-way ANOVA and Tukey’s post hoc test. h., Quantification of fibrosis (n = 3 mice per group, 6-7 cross sections per mouse were analyzed). Data were analyzed by one-way ANOVA and Tukey’s post hoc test.
Intellectual Property:

PCT Filed WO/2026/106981

Reference Media:

Scheffler, I., 2024 Jan 25; The Heart and Soul of Innovation: Noor Momin Harnesses the Immune System to Treat Heart Disease: Penn Engineering Research + Innovation
Momin Lab: Research & News Website

Desired Partnerships:

License

Docket #25-10968

Quaternary opioid carboxamides

sanfon@rpi.edu — Wed, 01 Jul 2026 05:38:39 GMT

2007-076-201

Innovation Summary:

This invention provides a new class of opioid receptor binding compounds designed to ameliorate the peripheral side effects of therapeutic opiates (e.g., constipation, nausea, emesis, pruritis, dysphoria, urinary retention) without interfering with central analgesic activity. The compounds are derivatives of benzomorphans and morphinans in which the 8-hydroxyl (benzomorphans) or 3-hydroxyl (morphinans) group has been replaced with small, polar, neutral residues such as carboxamide, thiocarboxamide, hydroxyamidine, or formamide. These modifications improve oral bioavailability, reduce susceptibility to Phase II metabolism (e.g., glucuronidation and sulfonation), and extend half-life compared to existing opioids and antagonists. Substitution on the amide nitrogen with larger, less polar groups further tunes receptor affinity and selectivity. These compounds demonstrate excellent opioid receptor binding and potent peripheral antagonism, making them superior candidates for managing opioid-induced side effects at lower doses than current therapies (e.g., methylnaltrexone).

Challenges / Opportunities:

A major challenge in opioid pharmacology is the poor oral bioavailability and rapid clearance of traditional opioids and antagonists due to the presence of hydroxyl groups that undergo Phase II metabolism. This leads to short half-lives, high dosing requirements, and diminished therapeutic benefit. Additionally, while peripherally acting antagonists like methylnaltrexone can reduce opioid-induced constipation, their efficacy requires relatively high doses, which can limit tolerability and increase cost.

The present invention solves these problems by designing structural modifications that retain opioid receptor affinity while eliminating metabolic liabilities, thereby producing long-acting, orally bioavailable compounds with strong peripheral selectivity. This creates opportunities for next-generation adjunct therapies that allow patients to continue receiving effective pain relief from opioids while minimizing unwanted side effects. Beyond constipation management, these compounds can improve post-operative bowel function, reduce opioid-induced nausea, and alleviate other peripheral complications, expanding their clinical utility. With rising demand for safer opioid regimens, these compounds have high potential for pharmaceutical development, licensing, and commercialization.

Key Benefits:

✔ Reduced central nervous system side effects
✔ High peripheral receptor selectivity
✔ Potential for safer opioid therapies
✔ Versatile use in pain management and addiction treatment

Applications:

• Safer pain relief medications
• Addiction treatment drugs
• Post-operative recovery aids
• Gastrointestinal side effect reduction

Keywords: Opioid receptor antagonist; benzomorphan derivatives; morphinan derivatives; carboxamide substitution; peripheral side effect reduction; oral bioavailability; Phase II metabolism resistance; opioid-induced constipation; methylnaltrexone alternatives

Intellectual Property: US Patent No. 8,263,807 and US Patent No. 8,563,572

Deferred Action Saltwater Battery for Backup Power

sanfon@rpi.edu — Wed, 01 Jul 2026 05:34:06 GMT

RPI IP:
2016-059-401

Innovation Summary:

A safe, saltwater-electrolyte backup battery that remains dormant until a grid outage automatically opens a fluid pathway. Loss of mains power de-energizes a normally-closed valve, allowing electrolyte to flow through annular galvanic cells and begin power generation. The design can recycle electrolyte back to a reservoir for sustained operation and simple maintenance. Annular flow geometries improve mass transport and power density while using benign materials. The system switches household loads to battery output until utility power returns, then shuts flow to pause reactions. Architecture avoids combustible fuels, exhaust, and many safety issues of lithium systems, targeting low-cost resilience.

Challenges / Opportunities:

Sizing cell arrays and plumbing for household peak loads while minimizing footprint requires careful engineering. Valve reliability and fail-safe behavior are critical; components must handle temperature swings and long idle periods. Round-trip efficiency and self-discharge during operation must be characterized for various electrolytes. Opportunities include pairing with rooftop solar, modular scaling, and deployment in critical facilities where fuel storage is restricted.

Key Benefits:

✔ Automatic start on outage (no manual intervention)
✔ Non-flammable saltwater chemistry for improved safety
✔ Dormant, low-maintenance standby with long shelf life
✔ Modular annular-cell architecture for scalable capacity
✔ Eliminates fuel storage and exhaust emissions

Applications:

• Residential and small-business backup power
• Telecom and IoT cabinet resilience
• Remote sites with fuel logistics constraints
• Supplementary storage with solar PV

Keywords: Backup power, saltwater battery, deferred action, valve-triggered electrolyte flow, annular galvanic cells, resilience

Intellectual Property: US Patent No. 10,964,955 B2

GUIDED WAVE SENSING FOR METAL ADDITIVE MANUFACTURING

sanfon@rpi.edu — Wed, 01 Jul 2026 05:16:51 GMT

RPI ID:
2023-001

Innovation Summary:
A real-time monitoring system for laser powder bed fusion (L-PBF) additive manufacturing processes leverages time-frequency domain analysis of melt pool imaging data to detect anomalies during fabrication. Sequential melt pool images, captured via near-infrared or thermal imaging, are compressed into a time series signal and transformed into a spectrogram capturing geometry-dependent frequency characteristics. A nominal performance baseline is established using statistical decomposition techniques such as principal component analysis (PCA), enabling characterization of expected machine behavior across varying raster scan patterns. During operation, reconstructed spectrograms are compared against the nominal basis, and deviations quantified via reconstruction error enable unsupervised, statistically driven anomaly detection with minimal latency and reduced data labeling requirements.

Challenges / Opportunities:
Additive manufacturing processes, particularly L-PBF, are highly sensitive to variations in energy deposition, scan patterns, and thermal dynamics, leading to defects that degrade part quality. Existing monitoring approaches either lack real-time capability or rely on “black-box” machine learning models that are difficult to interpret and generalize across geometries. This innovation addresses these limitations by introducing an interpretable, geometry-aware detection framework using time-frequency analysis. It creates opportunities for improved process control, reduced material waste, and scalable quality assurance across different build configurations and machines.

Key Benefits / Advantages:
✔ Real-time, in-situ anomaly detection with low latency during printing
✔ Geometry-aware monitoring using spectrogram-based frequency signatures of scan patterns
✔ Unsupervised learning approach reduces need for labeled datasets
✔ Interpretable statistical detection method (e.g., PCA-based reconstruction error)
✔ Applicable across multiple raster patterns and part geometries
✔ Enables detection of both temporal and spatial defects (e.g., melt pool instability, voids, spatter)

Applications:
• Monitoring and quality control in metal additive manufacturing (L-PBF systems)
• Aerospace and automotive component fabrication
• Industrial process control and smart manufacturing systems
• Research and development in advanced manufacturing and materials processing

Keywords:
Additive manufacturing, laser powder bed fusion, melt pool monitoring, spectrogram analysis, anomaly detection, PCA

Intellectual Property: Published U.S. Patent Application No. 18/668708

Luminous roof for NICU incubators for regulating circadian rhythms in infants and for providing high visibility of infant anatomy for healthcare staff

sanfon@rpi.edu — Wed, 01 Jul 2026 05:07:05 GMT

RPI ID:
2014-057

Innovation Summary:
A multipurpose lighting architecture integrates a flexible, sheet-based “illuminance blanket” embedded with distributed light sources and an intelligent controller capable of dynamically adjusting lighting parameters for neonatal incubators. The system delivers diffuse, shadow-free illumination while enabling real-time tuning of spectral composition, intensity, spatial distribution, timing, and duration based on predefined clinical tasks. Embedded sensing and imaging capabilities, including an integrated camera and optional infrared illumination, support both in-room and remote monitoring under variable lighting conditions. The platform further incorporates programmable circadian lighting cycles to promote infant physiological development, alongside task-specific modes optimized for clinical procedures such as vein visualization and medical examinations.

Challenges / Opportunities:
NICU environments require lighting solutions that reconcile conflicting needs—low-intensity circadian-supportive light for infants versus high-intensity, high-fidelity illumination for clinical tasks. Existing incubator lighting lacks adaptability across diverse medical scenarios, limiting both clinical efficiency and infant developmental outcomes. This innovation creates opportunities to standardize multi-mode lighting within a single system while improving workflow and enabling remote monitoring capabilities. Adoption may depend on hospital integration, compliance with strict medical lighting standards, and demonstrating measurable developmental and operational benefits.

Key Benefits / Advantages:
✔ Multi-modal lighting system tailored to distinct NICU tasks (circadian, procedural, observation)
✔ Tunable spectral output (e.g., red, blue, warm/cool white LEDs) for enhanced diagnostic visibility and vein detection
✔ Diffuse, shadow-free illumination improves accuracy in delicate neonatal procedures
✔ Integrated camera with visible and infrared imaging enables continuous remote monitoring
✔ Programmable circadian cycles support infant health, growth, and reduced NICU stay duration
✔ Flexible, removable blanket form factor compatible with a wide range of incubator designs

Applications:
• Neonatal intensive care unit (NICU) incubator lighting systems
• Medical procedure lighting (e.g., catheter insertion, blood draws)
• Remote patient monitoring and telemedicine visualization
• Pediatric or adult patient care environments requiring adaptable lighting
• Non-medical uses such as photography lighting, aquariums/terrariums, or portable task lighting

Keywords:
NICU lighting, circadian entrainment, LED spectral tuning, medical illumination systems, neonatal monitoring, flexible lighting panels

Intellectual Property:

Issued US patent 10,646,685

Non-Invasive Molecular Diagnostic Platform for Multiple Sclerosis

dragos@northwestern.edu — Tue, 30 Jun 2026 20:57:11 GMT

SHORT DESCRIPTION
A non-invasive blood biomarker technology that analyzes plasma cfDNA methylation to diagnose multiple sclerosis, classify its subtypes, and predict disease progression.

INVENTORS

Yaping Liu* (Northwestern University)
Zongqi Xia* (University of Pittsburgh)

* Principal Investigator

NU Tech ID NU 2025-030

IP STATUS

US Patent Pending (Joint with University of Pittsburgh)

DEVELOPMENT STAGE

TRL-4: Prototype Validated in Lab: Key functions have been demonstrated in controlled laboratory settings using clinical datasets.

BACKGROUND
Multiple sclerosis (MS) is a chronic autoimmune disease caused by inflammatory demyelination of nerve fibers that results in damage to the central nervous system. MS is a highly heterogenous disease with diverse clinical courses, posing significant challenges for early diagnosis, subtype classification, and long-term prognostic prediction. Most individuals are initially diagnosed with Relapsing-Remitting MS (RRMS), defined by discrete episodes of acute neurological symptoms followed by partial or full recovery. Some individuals will subsequently transition to Secondary Progressive MS (SPMS) and a small subpopulation of patients develop Primary Progressive MS (PPMS) from the onset. Patients with progressive MS (PMS), including both PPMS and SPMS, experience worsening neurological impairment without discrete periods of relapse or remission. Timely diagnosis and subclassification is key for developing appropriate treatment plans, which may include disease-modifying therapies (DMTs) that have been approved to treat RRMS. Current diagnostic methods rely on magnetic resonance imaging and invasive cerebrospinal fluid (CSF) analysis, which can be costly, difficult to access, and uncomfortable for patients. Existing blood biomarkers do not fully capture the disease’s complex pathology, resulting in suboptimal treatment decisions. There remains a pressing need for non-invasive diagnostic tools to enable rapid and accurate MS classification and prognosis for personalized patient monitoring and treatment.

ABSTRACT
Northwestern and University of Pittsburgh researchers have developed a highly accurate molecular diagnostic platform that uses cell-free DNA (cfDNA) methylation profiles from patient plasma to identify current disease state and predict disease outcome. This technology utilizes whole-genome bisulfite sequencing (WGBS) of plasma cfDNA to identify specific epigenetic signatures that distinguish MS patients from healthy individuals, differentiate clinical subtypes, and stratify patients by disease severity. The system incorporates computational deconvolution using reference methylation atlases to perform tissue-of-origin (TOO) analysis, estimating the cellular sources of circulating cfDNA. Supervised machine learning classifiers trained on these epigenetic signatures and TOO features categorize disease states, while a linear mixed-effects model calculates a methylation-based prognostic risk score (MBPRS) from baseline methylation at specific prognostic regions to predict future disability progression. Initial validation of the diagnostic platform using clinical datasets shows superior performance compared to existing biomarkers such as neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). The approach provides a single, comprehensive assay to non-invasively and simultaneously diagnose MS, stratify patients by severity, and accurately forecast long-term outcomes.

APPLICATIONS

Clinical diagnostics and disease management: Allows optimization of patient care through comprehensive, non-invasive diagnosis, MS subtype differentiation, and disease outcome prediction.
Clinical trial patient stratification: Enables accurate selection and stratification of MS patients by subtype and progression risk, ensuring more targeted and effective clinical trials for new therapies.
Therapeutic guidance: Assists in selecting appropriate disease-modifying therapies and provides monitoring tool to evaluate real-time efficacy of treatment.

ADVANTAGES

Minimally invasive: Relies on blood sample instead of MRI or cerebrospinal fluid analysis.
Enhanced diagnostic accuracy: Provides sensitive differentiation of MS subtypes.
Early detection: Enables timely and accurate disease subtype classification.
Cost-effective: Reduces diagnostic expenses compared to standard methods.

PUBLICATIONS

Fu H, Huang K, Zhu W, Zhang L, Bandaru R, Venkatesh S, Walker E, Wang L, Liu Y, Xia Z. Circulating cell-free DNA methylation profiles as noninvasive multiple sclerosis biomarkers: A proof-of-concept study. medRxiv [Preprint]. 2025 Jun 28:2025.02.14.25322180. doi: 10.1101/2025.02.14.25322180.

KEYWORDS
cfDNA methylation, multiple sclerosis, noninvasive diagnosis, blood biomarkers, machine learning, prognosis, neurodegeneration

MICROSCOPE INCLUDING INTERFEROMETER

heguangm@msu.edu — Tue, 30 Jun 2026 20:56:37 GMT

VALUE PROPOSITION

This technology lies in its ability to provide high-quality, 3D imaging of samples with significant surface offsets from a nominal plane, while maintaining spatial resolution. By employing a microscope with an interferometer and utilizing single-shot, polarization-sensitive detection this system offers advantages over conventional devices. These advantages include the elimination of vibration and drift, quick acquisition of interference patterns, and the ability to observe a variety of samples with ease. The use of phase-shifting interferometry ensures high-quality images, while the low-coherence light used minimizes speckles and interference not directly related to the sample.

DESCRIPTION OF TECHNOLOGY

This technology is a microscope system and method that utilizes an interferometer to provide high-quality, 3D imaging of samples with significant surface offsets from a nominal plane. The system employs a microscope with an interferometer, tilting a reference mirror and/or offsetting the sample from the centerline of an adjacent objective or telescope lens. A key feature of this system is the simultaneous detection of a fringe pattern with a phase-shift using light polarization in a single-shot. This approach utilizes an interferometer, with ability to eliminate vibration and drift, quick acquisition of interference patterns, and the ability to observe a variety of samples with ease. The system is particularly beneficial for measuring or imaging samples with complex surface shapes, such as steeply projecting pyramids, cylinders, or other polygons, and can achieve a spatial resolution of about 10 nm, with the potential to reach 0.3 nm with an atomically flat reference mirror.

BENEFITS

High-quality 3D imaging
Single-shot, polarization-sensitive detection
Elimination of speckles and interference
Minimized vibration and drift
Easy sample observation
Compatibility with short wavelength light

APPLICATIONS

Surface profiling
Thin film analysis
Microelectronics inspection
Material characterization
Biomedical research
Quality control

IP Status

US Patent Pending

LICENSING RIGHTS AVAILABLE

Full licensing rights available

Inventors: Marcos DANTUS and Sergei ANISHCHIK

Tech ID: TEC2022-0135

For more information about this technology,

Contact Jon Debling, Ph.D. at deblingj@msu.edu or +1-517-884-1653

Unobservable Re-authentication for Smartphones

ip@skysonginnovations.com — Tue, 30 Jun 2026 19:40:25 GMT

Smart phones are very popular and used by over seven billion people. Each day seven million dollars worth of cell phones is lost or stolen. Without an authentication device, personal data stored on the device can be used for identity theft or the phone can be used for unauthorized purposes. Most authentication systems authenticate a user only once when he logs in to the device. These systems require inputting a password to unlock the device and do not provide periodic re-authentication. Unfortunately, this allows an un-authorized user full access to the device until it is shut off. There is a need for a re-authentication system that is convenient to use. Most re-authentication systems that are currently available require a user to constantly input passwords inconveniencing the user.

Researchers at Arizona State University have developed an authentication system for handheld devices. Once a user is authenticated, the system continually re-authenticates to insure only authorized use of the device. The gestures used by each person to operate a handheld device are unique, like a fingerprint. The system monitors the way the keystrokes are done and the amount of pressure used in keystrokes and taps. The system saves information about the user’s gestures and uses that information as a standard for re-authentication. When an unauthorized user operates the device, the system detects a different user. Additional authentication is needed to reactivate the device. Re-authentication is invisible to users and causes no inconvenience.

Potential Applications

Cell phones
Note pads
Electronic tablets

Benefits and Advantages

Convenient – Re-authentication not noticeable to user
More Power – Constantly re-authenticates user
Retrofit – Works with existing handheld devices
Low Cost – No additional hardware needed

For more information about the inventor(s) and their research, please see
Dr. Guoliang Xue's directory webpage

Cross-Network Compatible Streaming Using Independent Filename-Indexed Video Segments

ip@skysonginnovations.com — Tue, 30 Jun 2026 19:24:01 GMT

Hypertext Transfer Protocol (HTTP) transfers information across the World Wide Web by routing packets of data from the web’s most available servers to a client, whose browser then builds a webpage (or streams media) from those packets. MPEG’s Dynamic Adaptive Streaming over HTTP (DASH), Apple’s HTTP Live Streaming, Microsoft Smooth Streaming, and Adobe’s HTTP Dynamic streaming, are all multimedia distribution protocols that help reduce buffering caused by intermittent HTTP data transfer. These protocols work by downloading the best available image quality that can be transferred before playback based upon the available bandwidth, while referencing a front-end list file containing metadata (data that describes other data) that serves as directions for where to find the data and how to assemble the video. These list files must be compatible with browsers, often requiring complex plugins and codecs that invite security vulnerabilities or have very limited cross-platform support. Additionally, current DASH players can only interact with video servers operating on TCP/IP protocol stacks, making them incompatible with non-TCP/IP networks such as WiFi, Bluetooth, and ZigBee used by wireless video sensors and camera-integrated consumer electronics.

Researchers at ASU have developed a method for generating, storing, and distributing video between dissimilar network protocols by using independently playable video segments whose filenames are uniquely indexed with identification and compilation information. The length of the segments can be adjusted from zero to thirty seconds and each segment contains all video formatting information needed for playback. The framework includes a media player build upon only the core elements of HTML5. The interim client-side storage of the HTML5 File System enables streaming from non-TCP/IP networks directly to the HTML5 canvas, transferring the CPU workload from a mobile sensor network to whatever client device is hosting the media player. Since the indexed filenames provide all the HTML5 video tags necessary for compiled playback, metadata list files are no longer required (but are still optional), eliminating the need for outside browser plugins or video codecs.

Potential Applications

Information-Centric Network Services/Streaming
Mobile Device Cameras
Multimedia Streaming/Playback
Wireless Video Sensor Networks

Benefits and Advantages

Efficient – Saves power and bandwidth by transferring CPU workload away from mobile network devices that have limited processing power.
Innovative – Permits streaming from non-TCP/IP networks such as WiFi, Bluetooth, and ZigBee.
Practical – Does not require a metadata list file as filenames provide the all the necessary indexing for playback.
Versatile
- Video can be any file format.
- Can be implemented via hardware or software.
Secure – Does not require any outside plugins or codecs.

For more information about the inventor(s) and their research, please see

Dr. Martin Reisslein's directory webpage

CONCEALING ALGORITHM LOGIC IN SECURE HOMOMORPHIC COMPUTATION

heguangm@msu.edu — Tue, 30 Jun 2026 19:20:01 GMT

VAlue proposition

This technology, PrivaCT, offers a significant value proposition in the realm of data privacy and security. By leveraging fully homomorphic encryption (FHE), PrivaCT enables computations to be performed on encrypted data without the need for decryption, thereby preserving data confidentiality. What sets PrivaCT apart is its innovative approach to protecting not just the data but also the functions applied to it. Traditional FHE methods often evaluate functions in cleartext, which can expose proprietary algorithms and make them vulnerable to side-channel attacks. PrivaCT addresses this by transforming private internal circuits into uniform external circuits, thereby eliminating any information about the underlying function. By offering a scalable and efficient solution for secure computation, PrivaCT establishes a new benchmark for privacy-preserving computation, making it an invaluable tool for industries that require robust data and algorithm confidentiality.

Description of Technology

The core innovation of PrivaCT lies in its ability to transform private internal circuits into uniform external circuits, effectively concealing the specifics of the underlying functions through a two-stage approximation process. This process involves using a universal function approximator to capture the function's behavior and then decomposing it into scalar components, each approximated by univariate methods. This strategy not only maintains high accuracy but also ensures a constant runtime, making PrivaCT highly efficient. This makes PrivaCT particularly valuable for industries such as healthcare, where the confidentiality of proprietary algorithms and personal data is paramount.

Benefits

Enhanced Data Privacy
Secure Algorithm Confidentiality
High Accuracy and Efficiency
Scalability
Broad Applicability
Resistance to Side-Channel Attacks
Constant Runtime

Applications

Healthcare Data Analysis
Financial Services
Cloud Computing
Supply Chain Management
Scientific Research
Government and Defense

IP Status

Patent Pending

LICENSING RIGHTS AVAILABLE

Full licensing rights available

INVENTORs: Vishnu Boddeti and Amina Bassit

Tech ID: TEC2025-0139

For more information about this technology,

A Model Based non-Invasive Physiological Data Acquisition Technique

ip@skysonginnovations.com — Tue, 30 Jun 2026 18:14:37 GMT

The most advanced Body Sensor Networks (BSNs) consist of wireless electronic sensors that are worn by patients and communicate wirelessly with a smartphone or computer. These sensors can be invasive or they must be put on every time a patient is monitored, which can be especially inconvenient for non-human patients. Currently, no non-invasive method of physiological monitoring exists that does not involve the application of electronic sensors to the skin.

Researchers at Arizona State University have developed a technique to sense physiological signals without installing sensors on a patient. When two people are in close proximity of each other, the electrocardiography (ECG) signal of one person may be coupled to the electroencephalography (EEG) signal of the other person. This non-invasive technique uses math modeling and electrical coupling to read an individual’s ECG through the EEG of whoever is conducting the monitoring.

Potential Applications

Healthcare/Veterinary Care
Biometric Security Systems
Haptics

Benefits and Advantages

Efficiency – Saves doctors and veterinarians the time of applying sensors to a patient and the cost of using multiple devices to monitor each patient.
Efficiency – Saves doctors and veterinarians the time of applying sensors to a patient and the cost of using multiple devices to monitor each patient.
Increased Protection – Additional safeguard when combined with other biometric security devices.

For more information about the inventor(s) and their research, please see
Dr. Sandeep Gupta's directory webpage

Dr. Ayan Banerjee's directory webpage

LookingGlass: Real-Time Contextual Mapping Tool for Tracking Population Movements and Their Drivers

ip@skysonginnovations.com — Tue, 30 Jun 2026 18:06:33 GMT

Current technology for monitoring social media will track frequencies of matching documents for simple, unorganized, keyword lists containing names of groups, individuals, practices, brands, and places. This has left a gap between what society thinks is understood from monitoring and what is actually understood in the complex systems that make up societies. Decision-making at the macro levels of social, political, cultural, and behavioral levels are left to make assumptions. It is also difficult to match individual followers, influencers, and groups to the macro level issues. This problem has made it very difficult to collect and understand data that may point to potential security threats to national interests from behaviors, attitudes, and identities.

Researchers at Arizona State University have developed a real-time, contextual analysis system that models complex socio-political situations that have a large degree of volatility and uncertainty. This innovation enables decision-makers to analyze cultures, attitudes, events, relationships and project potential outcomes. System users have the ability to understand the driving factors of behaviors in complex and dynamic environments by accounting for beliefs, goals, and intentions of influential state and non-state actors, as well as their leaders and followers. The system mines and organizes data to show the sizes and geographic footprints of social-media active groups, links and interactions between groups, lists, locations, and other demographic information about the group’s influential followers, group trends, and provides detailed information about the patterns of any geographic location, group, or individual.

Potential Applications

Detection of potential terrorist threats
Model religious and sectarian extremism and trends
Project anticipatory scenario development and strategic planning for regional instability
Track enemy combatants
Detecting financial fraud

Benefits and Advantages

Fast – Analyzes large amounts of data quickly
Better Decisions – Provides leaders with information and scenarios for potential outcomes to aid in decision-making
Saves Lives – Proactive system allows for rapid response and preemptive action.

For more information about the inventor(s) and their research, please see
Dr. Hasan Davulcu's directory webpage

Dr. Mark Woodward's directory webpage

Dr.Jieping Ye's directory webpage

Dr.Steven Corman's directory webpage

Micro-Miniaturized Passively Powered Wireless Telemetry

ip@skysonginnovations.com — Tue, 30 Jun 2026 17:32:10 GMT

Very small implantable wireless telemetry systems have the potential to become a tool for continuous in vivo biomonitoring, implant monitoring and drug delivery. Such minimally invasive devices may provide a practical way of continuously monitoring of brain and central nervous system function, thusly enabling continuous physiological and biomarker monitoring and supporting the development of man-machine interfaces. Conventional biopotential electrodes with implanted wires are often heavy, cumbersome, and limit a person's mobility. Electrodes that must pass through the skin to contact the brain or nervous system are sites of infection and injury when strained.

In an exciting development at ASU, Dr. Bruce Towe has invented a simple strategy to achieve wireless biotelemetry through the use of miniature semiconductor varactor parametric amplifiers. The device is excited with an external source of radio frequency signal which causes it to resonate and re-radiate a signal which allows the recovery of a biopotential signal, and does not require an internal power-source. This circuit has the advantage of small size, wide bandwidth, high sensitivity and does not rely on an internal power source.

Potential Applications

The market for biotelemetric devices is poised to grow rapidly, fueled by the need for miniature, implantable devices that can perform a variety of tasks:
- Monitoring heart, brain, nervous system functionality – electrical waveforms of these systems can be recorded through biotelemetry.
- Biochemical and biophysical sensors – Implantable microminiature sensors for pH, pressure, temperature, and osmolarity
- Implant diagnostics – status and device health monitoring of implanted devices (stents, catheters, bio-structural materials and devices).
- Drug delivery – wireless control of implanted drug-release devices

Benefits and Advantages

Small size – can be implanted with a syringe needle
No batteries – powered by external radio frequency
Wireless – no requirement for internal power source (smaller size, very long implant time, no explant required for battery replacement)
Possibility of multichannel, multifrequency operation - reduces quantity of implantable devices to achieve specific tasks
Wide bandwidth/high sensitivity – sensitive to microvolt level modulations, no preamplification necessary

NEURAL NETWORKS WITH HOMOMORPHIC ENCRYPTION

heguangm@msu.edu — Tue, 30 Jun 2026 16:16:16 GMT

VAlue proposition

Deployment of neural inference over encrypted data—using Fully Homomorphic Encryption (FHE) or Secure Multiparty Computation (MPC)—enables privacy-preserving computation crucial for sensitive applications in healthcare, biometrics, finance, and national security. However, encrypted neural inference has significant physical consequences: High power consumption, causing excessive energy use, increased heat, and additional cooling infrastructure. Large hardware footprints requiring increased physical space, server racks, and supporting facilities are needed. There is decreased hardware reliability and lifespan, due to intensive computational loads that accelerate hardware wear. These physical problems exponentially worsen when considering variations across cryptographic schemes, hardware platforms, and neural architectures.

Description of Technology

This technology is an automated optimization system that directly reduces physical resource usage by intelligently generating highly efficient encrypted inference implementations. It specifically achieves: Reduced energy usage by minimizing computational intensity through optimal selection of cryptographic parameters (e.g., bootstrapping frequency, polynomial approximations). Smaller physical footprints through hardware-optimized circuit designs, reducing the number of servers, processors, and related infrastructure needed. Improved hardware lifespan by significantly decreasing computational load and thermal stress on computing components, extending operational reliability.

Benefits

Automated cross-scheme optimization (e.g., CKKS, BGV, TFHE, SPDZ, GMW)
Hardware-aware automated optimization, reducing physical resources (CPUs, GPUs, FPGAs, ASICs)
Adaptive optimization to support emerging cryptographic, hardware, and neural innovations
Physical-resource-centric optimization framework

Applications

Healthcare
Biometrics
Finance
National Security
Cloud Computing

IP Status

Patent Pending

LICENSING RIGHTS AVAILABLE

Full licensing rights available

INVENTORs: Vishnu Boddeti and Wei Ao

Tech ID: TEC2025-0143

For more information about this technology,
contact Jon Debling PhD at deblingj@msu.edu or 1(517)884-1653

NOVEL CIRCULAR PEPTIDES FOR PROTEIN AGGREGATION DISEASES AND AGE-RELATED DISORDERS

tac79@drexel.edu — Tue, 30 Jun 2026 15:55:17 GMT

PAGE TITLE

Overview

PAGE SUMMARY

Developed by Dr. Timothy Cunningham at Drexel University, this innovation is a peptide‑based platform that activates Heat Shock Protein 70 (HSP70) to restore the body’s natural protein quality control systems.

The technology comprises a family of short, bioengineered peptides, most notably CHEC 9, CHEC 7, and the optimized cyclic variant cycloSKEc7 (cSKE7), derived from naturally occurring protein fragments that help regulate cellular stress responses. These peptides work by activating Heat Shock Protein 70 (HSP70), a key “protein quality control” factor in the body that identifies and repairs or removes damaged proteins. In many age related and metabolic conditions, proteins become chemically modified (for example, by excess blood sugar byproducts), causing them to misfold and clump into toxic aggregates known as amyloids that impair normal cell function. The CHEC peptides act as small molecule regulators of HSP70, enhancing its ability to break apart these aggregates and restore protein function.

Earlier versions of the Drexel inventor’s peptides demonstrated anti inflammatory and cell protective effects through this mechanism, while the next generation cSKE7 has been rationally redesigned to improve stability, solubility, and therapeutic practicality. In human plasma models of metabolic stress, these peptides have been shown to disperse existing protein aggregates, inhibit new aggregate formation at very low concentrations, and recover key enzymatic and antioxidant functions, ultimately reducing oxidative stress and inflammation. Together, these properties position this proof-of-concept platform as a novel approach to treating diseases driven by protein damage and aggregation, including metabolic disorders, neurodegenerative conditions, and aging related decline, by restoring the body’s natural protein maintenance systems rather than targeting a single disease pathway.

Supported by early stage preclinical studies in human plasma and related models, the technology is positioned for translational development in treating protein aggregation–driven diseases.

ADVANTAGES

TITLE:Key Advantages

First-in-class mechanism leveraging HSP70 stimulation to directly disperse amyloid and protein aggregates, addressing root causes of proteostasis failure.

Demonstrated nanomolar potency and specificity, enabling effective disaggregation activity at low therapeutic doses.

Capability to reduce oxidative stress and inflammatory markers concomitantly, thereby offering multi-modal therapeutic effects.

Enhanced chemical stability and improved aqueous solubility support formulation development and therapeutic applicability.

Derived from a human endogenous protein, which may support a low immunogenicity profile.

Preclinical studies support translational relevance and therapeutic viability across human plasma and neural models.

Problem Solved

TITLE:Problems Solved

Mitigates accumulation of toxic protein aggregates in blood and neural tissues that contribute to metabolic and neurodegenerative diseases.

Addresses oxidative stress and inflammatory cascades triggered by protein misfolding, which exacerbate cellular damage and disease progression.

Overcomes limitations of current treatments that primarily provide symptomatic relief without targeting aggregate clearance.

Offers a novel therapeutic approach to reduce complications associated with hyperglycemia and aging-related cellular decline.

Supports restoration of enzymatic function and redox balance impaired in metabolic disorder pathologies.

APPLICATIONS

TITLE: Market Applications

Therapeutic intervention in metabolic disorders such as diabetes by mitigating protein aggregation-associated complications.

Treatment of age-related diseases including Alzheimer's, Parkinson's, and other neurodegenerative conditions characterized by proteinopathy.

Life extension therapies aimed at enhancing healthy lifespan through improved systemic proteostasis and reduction of cellular stress markers.

Potential adjunctive treatment in oxidative stress-related organ dysfunctions affecting heart, brain, and other vital organs.

Potential use in clinical settings requiring modulation of inflammatory responses linked to protein aggregation and cellular senescence.

IP STATUS

Intellectual Property and Development Status

Patent pending, PCT application filed

This early stage innovation developed in the Drexel University College of Medicine is available for translational research, testing and licensing opportunities.

PUBLICATIONS

References

Pubinfo should be the citation for your publication. Publink is the full url linking to the publication online or a pdf.

Scientific Publication – “Peptide treatment of human plasma disrupts metabolic and age-related pathologies via heat shock protein 70”

Scientific Publication – “Anti-inflammatory peptide regulates the supply of heat shock protein 70 monomers: implications for aging and age-related disease”

Scientific Publication – “Heptamer Peptide Disassembles Native Amyloid in Human Plasma Through Heat Shock Protein 70”

Commercialization Opportunities
This early stage innovation developed in the Drexel University College of Medicine is available for translational research, testing and licensing opportunities.

----------------------------------------------

Contact Information

For intellectual property and licensing inquiries, please contact Dr. Robin Stears, Director of IP & Agreements, at rls457@drexel.edu or applied_innovation@drexel.edu.

Multiplexing, signal rechanneling and optical powered oscillator

heguangm@msu.edu — Tue, 30 Jun 2026 14:41:14 GMT

VALUE PROPOSITION

For Magnetic Resonance Imaging it is often desirable to measure electrophysical characteristics alongside MRI data. To do so, voltage sensors are employed. This technology is an RF powered voltage sensor which can be configurable to measure a variety of physical indicators with excellent resolution. The design minimizes interference with MRI operations.

DESCRIPTION OF TECHNOLOGY

The parametric resonator is a circular-shaped loop-gap resonator with a continuous center conductor to bridge its virtual grounds. As a result, the resonator has a butterfly resonance mode at a lower frequency and a circular resonance mode at a higher frequency. When a pumping signal is applied at approximately the sum frequency of these two modes, the resonator can oscillate at frequencies that are close to the resonance frequencies of individual modes. Once the pumping signal is determined by an external frequency synthesizer, it will also determine the sum of butterfly and circular oscillation frequencies. If the butterfly mode oscillation signal falls within the detection band of the MRI scanner, it can be detected by a standard MRI coil allowing sensor information to be recorded. This technology has a wireless oscillator that relies on ambient light, rather than Radio Frequency energy.

BENEFITS

Able to record very small changes in neuronal voltage.
Low MRI interference.

APPLICATIONS

Neural Imaging
MRI

IP Status

US Patent Pending

LICENSING RIGHTS AVAILABLE

Full licensing rights available

Inventor: Chunqi Qian

Tech ID: TEC2026-0093

For more information about this technology,

Contact Jon Debling, Ph.D. at deblingj@msu.edu or +1-517-884-1653

Safe and Highly Selective HDAC8 Inhibitors for Kidney Disease and Precision Therapies

lbricha@upenn.edu — Tue, 30 Jun 2026 13:21:49 GMT

HDAC8-targeting small molecules for kidney disease treatment with improved safety, selectivity, and therapeutic potential.
Problem:
Acute kidney injury (AKI) and focal segmental glomerulosclerosis (FSGS) affect millions of patients worldwide and can contribute to chronic kidney disease and end-stage renal failure, which only has a 5-year survival rate of 35-50%. Despite substantial disease burden, there are currently no FDA-approved therapies that directly target underlying molecular drivers of either condition. Existing treatment approaches primarily focus on symptom management and supportive care rather than halting disease progression. As a result, there remains a significant unmet need for therapies that address the root causes of kidney injury and dysfunction.
Solution:
Histone Deacetylase 8 (HDAC8) is a promising therapeutic target for kidney disease due to its role in regulating gene expression pathways associated with inflammation, fibrosis, and renal injury. Targeting HDAC8 can help address drivers of renal disease, slowing its progression. The inventors developed a class of HDAC8 inhibitors that exhibit potent inhibition with improved selectivity compared to conventional HDAC inhibitors.
Technology:
Most HDAC8 inhibitors rely on a hydroxamic acid (HA) zinc-binding group (ZBG) to target the enzyme’s catalytic zinc ion. The inventors developed compounds featuring a distinct ZBG from those used in existing HDAC inhibitor designs, enabling improved selectivity and reduced off-target activity. By leveraging additional interactions beyond the conventional binding pocket, these compounds exhibit potent and selective HDAC8 inhibition. The molecules’ synthesis involves a modular convergent approach that enables rapid generation and optimization of analogs. The resulting compounds achieve HDAC inhibition with half-maximal inhibitory concentration (IC50) values ranging from 0.007 to 50 μM.
Advantages:

Potent HDAC8 inhibition with lead compounds achieving IC50 values as low as 7 nM.
Modular convergent synthesis allowing for rapid generation and evaluation of new compound variants.
Replaces the traditional HA ZBG with an alternative design, reducing reliance on a motif often linked to safety and specificity concerns.
Dual-site engagement of both the catalytic region and a distinct HDAC8 binding pocket to improve target recognition compared to traditional inhibitors that rely solely on the conventional active-site interactions.

Stage of Development:

Preclinical Discovery

Modular design of the HDAC8 inhibitor small-molecule constructs. Left: schematic representation of the molecular architecture consisting of a cap, linker, and ZBG, and acetate release channel interacting domain. Right: representative chemical structure corresponding to each molecular domain.
Intellectual Property:

Provisional Filed

Reference Media:

Long, K et al. ACS Pharmacol. Transl. Sci., 2022 March 16; 5(4): 207
de Groh, ED et al.; J Am Soc Nephrol, 2010 May; 21(5): 794
Donna Huryn Lab
Neil Hukriede Lab

Desired Partnerships:

License
Co-development

Docket #26-11392

Aptamer-Based Molecular Recognition Platform for Targeted Diagnostics and Therapeutic Inhibition of the Pathological Tau Protein in Neurodegenerative Disorders

saradagen@ufl.edu — Mon, 29 Jun 2026 20:14:53 GMT

Enables Site-Specific Detection and Inhibition of Disease-Associated Tau Protein

This aptamer-based molecular recognition platform enables site-specific detection and inhibition of pathological tau protein in neurodegenerative disorders. Tau is a microtubule-associated protein enriched in neuronal axons within the central nervous system. Under normal physiological conditions, tau promotes the assembly and stabilization of microtubules, maintaining neuronal structure and intracellular transport. In several neurodegenerative conditions, tau becomes abnormally phosphorylated, causing it to dissociate from microtubules and aggregate within neurons, disrupting neuronal stability and contributing to neuronal death. Tau pathology is a defining feature of several neurological disorders, including Alzheimer's disease and chronic traumatic encephalopathy (CTE). In the United States, roughly 1.9 million new traumatic brain injury (TBI) cases occur annually, many triggering chronic tau aggregation and accelerate neurodegeneration. The global TBI-diagnostic market was valued at approximately $1.06 billion in 2024 and is projected to exceed $2.5 billion by 2031, reflecting growing demand for rapid and accurate neurological biomarker detection. Existing detecting platforms are costly and require large sample volumes, creating a clear opportunity for a low-cost, high-sensitivity aptamer solution.

Researchers at the University of Florida developed an aptamer platform for enabling the selective recognition of tau and its phosphorylated forms using short, structured DNA sequences engineered for high binding specificity. Aptamers offer several advantages over conventional antibodies, including smaller size, chemical stability, and the ability to be synthetically produced and modified. These properties make them versatile molecular tools for biomarker detection, imaging, and therapeutic targeting, positioning the tau-binding aptamer technology as a promising platform for developing next-generation diagnostics and treatments for tau-related neurological disorders.

Application

This aptamer-based molecular recognition platform can be used in the development of diagnostic assays and therapeutic strategies for detecting and targeting tau pathology associated with neurodegenerative diseases and traumatic brain injury

Advantages

Enables precise recognition of hyperphosphorylated tau variants, increasing diagnostic sensitivity to differentiate between healthy and pathological protein forms
Combines high-fidelity detection with potent inhibition, accelerating early disease detection and halting tau aggregation
Crosses the blood-brain barrier efficiently, delivering diagnostic or therapeutic molecules directly into the brain
Offers smaller sizes than antibodies, improving tissue diffusion
Reduces production cost, allowing chemical synthesis at scale

Technology

The platform uses high-affinity DNA aptamers to specifically target and bind to the tau protein at critical phosphoryl table sites, providing a versatile avenue for the detection and treatment of tauopathy-related neurodegenerative disorders. By enabling the precise recognition of pathological tau forms, the system facilitates early-stage diagnosis and real-time monitoring of disease progression. The platform is compatible with multiple biological matrices, including cerebrospinal fluid and blood, and supports diverse applications such as enzyme-linked aptamer-based assays (ELASA), molecular beacon-based sensing, and targeted therapeutic inhibition of tau aggregation. Designed for clinicians and researchers, this platform improves diagnostic sensitivity, enables the rapid evaluation of neurotoxic protein levels, and provides a programmable, non-immunogenic tool for arresting the progression of conditions like Alzheimer’s disease and CTE without the limitations of traditional antibody-based methods.

AI-Driven Clinical Decision Support System for Diabetes Management

ip@skysonginnovations.com — Mon, 29 Jun 2026 19:30:45 GMT

Invention Description

Type 1 diabetes (T1D) affects nearly 10 million people worldwide and occurs when the immune system destroys the pancreas's insulin-producing beta cells. Managing T1D is notoriously difficult, requiring constant glucose monitoring and precise insulin dosing. Even with advanced tools like continuous glucose monitors (CGMs) and automated insulin delivery (AID) systems, patients still struggle with dysglycemia and would benefit significantly from a deeper understanding of how to fine-tune their insulin doses for optimal blood sugar control.

Researchers at Arizona State University have developed an innovative clinical decision support system which integrates sensors, processors, data communication, and machine learning algorithms to assist clinicians in preventing hyperglycemia in T1D patients. By analyzing continuous glucose monitor and insulin pump data, it offers advanced analytics and simulations to suggest optimal insulin timing and dosage adjustments. This platform features predictive models which are all accessible via an intuitive portal for real-time data visualization and decision-making.

This technology is an AI-powered clinical decision support system designed to optimize diabetes management through actionable insights and advanced glucose control recommendations.

Potential Applications

Companies developing diabetes management software and medical devices
Hospitals and clinics managing type 1 diabetes patients
Endocrinologists and diabetes care specialists
Diabetes research centers and academic institutions
Integrated care platforms seeking AI-driven decision support tools

Benefits and Advantages

Provides actionable recommendations rather than just visualizing data
Utilizes AI-driven predictive models for accurate hyperglycemia forecasting
Enables clinicians to simulate and evaluate the effects of insulin and carbohydrate adjustments
Integrates continuous glucose and insulin data for personalized treatment plans
User-friendly portal streamlines clinical workflows and decision-making

Compiling Error-Corrected Quantum Circuits under Hardware Constraints

JianlingL@tla.arizona.edu — Mon, 29 Jun 2026 17:13:07 GMT

This technology is a method of finding the ideal hardware choices to execute a given quantum algorithm, by explicitly treating compilation within the framework of quantum error-correcting codes and logical operator equivalence in the special unitary group. Quantum hardware is noisy, and certain hardware combinations can be even more so. This technology introduces a systematic method to develop distinct, error-corrected circuits that are logically equivalent to circuits with connectivity or compilation problems.

Background:
Typically, connectivity problems in quantum hardware are addressed by incorporating qubit swap gates, which are expensive. This technology offers a different approach to reducing compilation errors by simply replacing poor-connectivity quantum circuits with logically equivalent circuits that adhere to hardware connectivity.

Applications:

Quantum computing
Quantum hardware
Error-corrected quantum circuits

Advantages:

Reduces cost
Systematic technique
Improving feasibility on constrained quantum hardware

EUV Lithography System Using Segmented Transmissive Projection Optics

JianlingL@tla.arizona.edu — Mon, 29 Jun 2026 17:11:17 GMT

This invention describes a system where extreme ultra-violet (EUV) radiation is patterned and projected onto a wafer using transmissive membrane optics while managing thermal absorption, membrane mechanical stability, and optical obscuration. This enables programmable or mask-based projection lithography using transmissive optical elements.

Background:
Advanced manufacturing increasingly operates at single digit nanometer scales, placing growing demands on imaging systems for resolution, alignment accuracy, throughput, and production time. Established projection designs are near their physical and economic limits, with added complexity causing increased sensitivity to heat, contamination, and mechanical instability. Material constraints and tight geometric requirements further limit design flexibility and weaken traditional scaling methods. Industry responses, such as higher numerical aperture optics, smaller exposure fields, and stricter environmental control, deliver incremental improvements but also raise system complexity and operating risk. To sustain further scaling, manufacturers are shifting toward projection architectures that divide the imaging task into smaller, independently optimized optical sections, reducing the dependence on a single monolithic.

Applications:

Diffractive Fresnel zone plate lenses
Vacuum-guiding metasurfaces
Effective-medium phase structures
Nanophotonics
EUV lithography

Advantages:

Improved manufacturability
Scalability to higher resolution
Reduces phase errors

Non-local EUV Metasurfaces and Reflective Non-local EUV Metalenses

JianlingL@tla.arizona.edu — Mon, 29 Jun 2026 17:10:28 GMT

This invention describes a planar reflective optical platform for extreme ultraviolet wavelengths based on guided-mode resonators in thin-film dielectric waveguides. The invention enables reflective wavefront control, focusing, and aberration correction through nonlocal metasurface physics. This eliminates the need for multilayer Bragg reflectors.

Background:
Extreme ultraviolet (EUV) optical systems often face fundamental challenges arising from material optical properties in this regime because nearly all solid materials exhibit refractive indices slightly below unity with significant absorption at EUV wavelengths. Current systems use Bragg reflector mirrors to achieve 70% reflectivity, but suffer from angular bandwidth limitations, fabrication complexity for focusing elements, and multi-element requirements to compensate for aberrations. There is a persistent need across the field for planar reflective EUV optical elements capable of achieving high numerical imaging and wavefront control without the need for curved multilayer mirror systems due to their complexity, costs, and scalability limitations.

Applications:

Advanced wavefront engineering
EUV imaging
EUV lithography

Advantages:

Reduced angular sensitivity
Single-element aberration correction
Robust
Scalable
Entirely planar structure

Integrated Optical Side-Channel Suppression Architecture for CMOS Devices

JianlingL@tla.arizona.edu — Mon, 29 Jun 2026 17:09:45 GMT

This invention addresses two separate physical leakage pathways in CMOS circuits: mid-infrared thermal emission and near-infrared photon emission. The invention integrates two mechanisms into standard back-end-of-line fabrication processes to provide a unified method for reducing optical side-channel vulnerability without altering the performance of the CMOS logic or requiring changes to front-end device structures.

Background:
Optical side channel attacks exploit unintentionally emitted radiation from integrated circuits to infer internal computational activity. One instance of these attacks occurs when thermal infrared imaging detects minute temperature variations on the chip surface, which reveal patterns that correlate with switching activity. Another instance of these attacks uses near-infrared photon emission produced by hot-carrier recombination during transistor switching. Weak emissions can escape through the backside of a thinned die and be recorded using NIR detectors, enabling spatially resolved observation of logic activity. Existing mitigation techniques focus on packaging-based shielding, chip-level opaque coatings, or algorithmic countermeasures such as randomization and noise injection. These approaches are often costly, limited ineffectiveness, or incompatible with high-performance system requirements.

Applications:

Counter-surveillance
Defense and aerospace
Secure microcontrollers (ATMs, Smartcards)
Payment card, authentication, and identity ecosystems

Advantages:

Protects the most vulnerable surface of a chip
Compatible with existing designs
Low-cost, manufacturable solution
Reduce optical side channel leakage without affecting CMOS logic performance

Methods for Differentiable Characterization of Materials

JianlingL@tla.arizona.edu — Mon, 29 Jun 2026 17:08:39 GMT

Differentiable Characterization of Materials is a software-based approach for analyzing materials microscopy data by converting discrete measurement data into continuous, queryable representations of a material. Instead of limiting analysis to fixed measurement points, this approach allows researchers to study material features across space and extract useful property information from microscopy signals. The technology may help researchers better understand composition, crystal orientation, stress, defects, boundaries, and other material features with greater flexibility than traditional grid-based analysis. It can support higher-resolution review of existing datasets, reduce storage needs by representing large datasets more compactly, and connect characterization data more directly with property prediction and physics-based materials models. This could make materials analysis faster, more informative, and easier to integrate into existing research and commercial microscopy workflows.

Background:
Materials researchers rely on microscopy and microanalysis tools to understand how a material’s structure affects its properties and performance. Current methods often collect data at fixed points or on fixed grids, which can limit how closely researchers can inspect areas between measurement points. These methods can also introduce noise when estimating gradients, boundaries, or other spatial changes in a material. Existing workflows often require separate steps for data collection, data processing, image segmentation, property extraction, and model-based analysis. This can make the process time-consuming and can cause information to be lost between steps. This technology creates a continuous representation of material data, allowing users to query, analyze, compress, and integrate microscopy data with material property models within a more unified software workflow.

Applications:

Materials characterization
Microscopy and microanalysis software
Electron backscatter diffraction analysis
Spectroscopy and diffraction data analysis
Materials informatics

Advantages:

Converts fixed-grid microscopy data into continuous, queryable material representations
Allows users to analyze material features between original measurement points
Supports cleaner extraction of gradients, boundaries, and spatial property changes
May reduce noise compared with traditional finite-difference analysis
Can compress large microscopy datasets for easier storage, sharing, and archiving

GRAPHENE NANORIBBON PHOTOVOLTAICS

heguangm@msu.edu — Mon, 29 Jun 2026 16:21:13 GMT

VAlue proposition

Graphene and graphene nanoribbons (GNRs) offer a compelling value proposition due to their exceptional properties, including high electrical conductivity, mechanical strength, thermal conductivity, and chemical stability. These unique characteristics enable graphene and GNRs to be utilized in a wide range of applications across various industries, such as electronics, energy storage, sensors, biomedical devices, and environmental remediation. By leveraging the potential of graphene and GNRs industries can develop innovative solutions that improve performance, efficiency, and sustainability.

Description of Technology

Graphene and graphene nanoribbons (GNRs) are emerging as promising materials for photovoltaic applications due to their exceptional electrical and mechanical properties, including high carrier mobilities, conductivity, Young's modulus, and tensile strength. By leveraging the tunable bandgap of GNRs, which can be controlled through their width, we have demonstrated the potential of GNRs as photoactive layers in photovoltaic devices. This technology utilizes nonoxidative alkyne benzannulation synthesis for precise GNR width control and fabricates photovoltaic cells that generate photocurrent across the solar spectrum, from the ultraviolet region to the near-infrared.

Benefits

Excellent electronic and mechanical properties
Tunable bandgap
High light absorption
Potential for thin film optoelectronic devices

Applications

Photovoltaics
Energy storage
Sensors
Flexible electronics

IP Status

US Patent Application 18/222,944

LICENSING RIGHTS AVAILABLE

Full licensing rights available

INVENTORs: Richard Lut, Mathew Bates, Ryan Malone and Wesley Chalifoux

Tech ID: TEC2023-0003

For more information about this technology,
contact Jon Debling PhD at deblingj@msu.edu or 1(517)884-1653

COMMUNICATION SYSTEM FOR WIRELESS NETWORKS

heguangm@msu.edu — Mon, 29 Jun 2026 16:02:18 GMT

VAlue proposition

A major drawback of Orthogonal Frequency Division Multiplexing (OFDM) is its high peak-to-average power ratio (PAPR), which causes nonlinear distortion, lower power efficiency and performance losses. An additional concern is fragility under hostile jamming attacks. By implementing a modified OFDM method the system effectively transforms the time domain signal into a frequency domain signal, adjusts the gain, and converts it back to the time domain while preserving the original bitstream. This approach addresses the PAPR issue by reducing the power amplification required for transmission, thereby minimizing nonlinear distortion, power inefficiency, and out-of-band frequency dispersion. Additionally, the system enhances resilience against jamming attacks by employing advanced signal processing techniques, ensuring reliable high-speed transmission. This technology is particularly beneficial for resource-constrained IoT networks, where power efficiency and robustness are critical factors for successful implementation.

Description of Technology

The technology described is an innovative communication system utilizing an Inverse Fast Fourier Transform (IFFT) -Relocated OFDM (IR-OFDM) approach, which effectively addresses the high peak-to-average power ratio (PAPR) and fragility issues commonly associated with traditional OFDM systems. By relocating the IFFT module from the transmitter to the receiver, the IR-OFDM system eliminates the PAPR barrier while maintaining the same spectral efficiency. Furthermore, the system incorporates a securely mechanism to enhance resilience against hostile jamming attacks, particularly disguised jamming where the interference is correlated with the authorized signal. This is achieved by integrating Advanced Encryption Standard (AES) into the IR-OFDM transceiver design, which introduces random or dynamic constellation, ensuring reliable performance under such adversarial conditions. The IR-OFDM and SP-IR-OFDM systems have potential for use in next-generation secure and energy-efficient high-speed communications, particularly in resource-constrained IoT networks.

Benefits

High spectral efficiency
Simple receiver design
Resilience to multipath propagation
Reduced peak-to-average power ratio
Enhanced security:
Compatibility with IoT networks
Lower computational complexity
Bandwidth efficiency

Applications

Wireless communication networks
Optical communication systems
Underwater communication systems
Iot networks
Satellite communication
Radar systems

IP Status

US Patent12,309.019

LICENSING RIGHTS AVAILABLE

Full licensing rights available

INVENTORs: Tongtong Li and Jian Ren

Tech ID: TEC2022-0018

For more information about this technology,
contact Jon Debling PhD at deblingj@msu.edu or 1(517)884-1653

Methods for Low-Overhead, Fault-Tolerant CNOT Operations.

techtransfer@buffalo.edu — Mon, 29 Jun 2026 16:02:09 GMT

Methods for Low-Overhead, Fault-Tolerant CNOT Operations between two Non-Nearest Neighboring Logical Qubits

Background:

The term Noisy Intermediate-Scale Quantum (NISQ) has been used to describe the current state of quantum computing technology because (1) qubits are highly error prone; and (2) the number of qubits in a single (monolithic) Quantum Processing Unit (QPU) are limited. In order to build a quantum computer useful for practical scientific and engineering applications, we need to improve the fault-tolerance performance and increase the number of qubits. This has led to an increased interest in quantum error correction (QEC) and distributed quantum computing (DQC).

Technology Overview:

This University at Buffalo technology addresses current limitations in quantum computing resulting from the high rate of error and limited qubit composition of current quantum computing syst0ems. Specifically, this method can act as a backbone for performing fault-tolerant logical operations in a Distributed Quantum computing (DQC) system using only one pair of entangled physical qubits during CNOT operation.

https://buffalo.technologypublisher.com/files/sites/7761_in-part_image.jpg

vchalup, https://stock.adobe.com/uk/234578887, stock.adobe.com

Advantages:

This method can be applied to any CSS code, which makes it more versatile than the specific variants.
The method has constant space overhead as it only requires one ancilla Bell Pair.
On top of requiring only one Bell pair established or routed, the proposed method will reduce the total number of physical CNOT operations on the physical qubits of A and B, respectively, from N down to possibly a very small number n < N

Application:

Quantum Computing
Lab (material testing/characterization.)

Intellectual Property Summary:

United States Provisional Patent Application 64/054,327 filed April 30, 2026.

Stage of Development:

TRL 3

Licensing Status:

Available for licensing or collaboration.

Additively Manufactured MEMS Lorentz Force Magnetometer Device/ Devices Array and 3D printed Magnetostrictive MEMS Magnetometer Device/ Devices Array

cabrigo@usf.edu — Mon, 29 Jun 2026 15:33:29 GMT

Advantages

Cuts production costs and speeds up prototyping compared to traditional semiconductor manufacturing methods.
Unlocks complex three-dimensional sensor shapes that conventional fabrication techniques simply cannot produce.
Delivers precise, customizable magnetic sensing that measures flux density from any direction.
Enables smaller, simpler packaging by avoiding the bulky optics used in competing sensors.

Summary

Magnetic field sensors quietly power everything from phone compasses to automotive steering systems, with growing demand from medical diagnostics, robotics, and quantum computing. Yet manufacturers face a costly bottleneck: traditional semiconductor fabrication is slow, expensive, and locks devices into flat, two-dimensional designs. The market urgently needs sensors that are miniaturized, sensitive, affordable, and adaptable to space constrained, three-dimensional systems, a need current methods simply cannot satisfy.

This technology combines 3D printing with piezoelectric MEMS resonators, replacing the bulky optical readouts found in other 3D printed sensors with compact piezoelectric transduction. The result is a sensor that is easier to miniaturize and package while remaining simple and affordable to manufacture. Because additive manufacturing builds layered structures directly, it enables complex, non-planar geometries that conventional fabrication cannot achieve, offering a scalable, customizable alternative to existing Hall effect or SQUID sensors for demanding automotive, medical, and quantum applications.

Simulated mode shapes and resonant frequencies of the proposed devices with Si and traditional method.

Desired Partnerships

License
Sponsored Research
Co-Development

Additively Manufactured/ 3D Printed Resonant MEMS Device and a Resonant MEMS Array

cabrigo@usf.edu — Mon, 29 Jun 2026 15:27:49 GMT

Advantages

Enables complex 3D device shapes impossible through traditional flat manufacturing methods
Supports diverse materials for flexible integration across many substrate types
Cuts development time and costs by removing expensive fabrication tooling needs
Boosts performance and signal clarity through smarter resonator design features

Summary

As electronics evolve toward wearable and flexible formats, MEMS resonators face a critical design bottleneck. Conventional manufacturing locks devices into flat, two-dimensional shapes using costly tooling and a narrow range of silicon-based materials. This rigidity blocks the three-dimensional architectures, exotic materials, and conformal designs that next generation applications urgently require.

This technology applies additive manufacturing to build resonant MEMS devices layer by layer, combining electrodes, piezoelectric material, and structural elements on rigid or flexible substrates. By moving beyond subtractive fabrication, it unlocks complex 3D geometries, broader material choices, and faster prototyping. Built in features like modified anchors and reflectors boost performance, while easy array printing strengthens signal quality, offering real advantages for telecommunications, defense, and healthcare partners.

Desired Partnerships

License
Sponsored Research
Co-Development

SIGMA DELTA QUANTIZATION FOR IMAGES

heguangm@msu.edu — Sat, 27 Jun 2026 21:51:41 GMT

VAlue proposition

The value proposition of this technology lies in its innovative approach to image quantization using Sigma Delta quantization. By segmenting pixel values into columns and quantizing each column as a whole using Sigma Delta modulation, the technique minimizes accumulated quantization error, thereby enhancing the reconstruction quality of the image. Furthermore, the 2D generalization of Sigma Delta modulation allows for a more comprehensive quantization process. This technology not only improves the efficiency of digital signal processing by reducing the information conversion rate but also ensures the reconstruction quality is maintained. Its practicality is further enhanced by the ability to operate in an online manner, making it suitable for real-time applications. The simplicity of the mathematical operations involved, particularly the preference for addition and subtraction over multiplication and division, makes it feasible for implementation in analog hardware.

Description of Technology

This technology introduces a novel method for image quantization through the application of Sigma Delta quantization. By segmenting pixel values into columns and quantizing each column as a whole using Sigma Delta modulation, the technique effectively minimizes accumulated quantization error, thereby enhancing the overall reconstruction quality of the image. The 2D generalization of Sigma Delta modulation further refines this process, allowing for a more comprehensive quantization approach. This method not only improves the efficiency of digital signal processing by reducing the information conversion rate but also ensures that the reconstruction quality is maintained. Its practicality is further enhanced by the ability to operate in an online manner, making it suitable for real-time applications. The simplicity of the mathematical operations involved, particularly the preference for addition and subtraction over multiplication and division, makes it feasible for implementation in analog hardware.

Benefits

Enhanced Image Quality
Efficient Digital Signal Processing
Real-Time Application Suitability
Simplicity in Implementation
Analog Hardware Compatibility

Applications

Digital image processing
Audio signal processing
Video compression
Medical imaging
Optical character recognition
Wireless communication
Sensor systems

IP Status

US Patent11,818,479

LICENSING RIGHTS AVAILABLE

Full licensing rights available

INVENTORs: Rongrong Wang and He Lyu

Tech ID: TEC2020-0142

For more information about this technology,
contact Jon Debling PhD at deblingj@msu.edu or 1(517)884-1653