Search Results - aydogan+ozcan

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All-Optical Phase Conjugation Using Diffractive Wavefront Processing (Case No. 2024-104)

Intro Sentence: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel method for all-optical phase conjugation to correct phase aberrations for various applications, including laser beam focusing and optical communications. Background: Distortion of wavefronts causes deviation from its ideal shape through...

Published: 9/10/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li, Che-Yung Shen

Keywords(s):

Category(s): Optics & Photonics, Electrical, Electrical > Signal Processing, Electrical > Instrumentation, Electrical > Electronics & Semiconductors

Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification (Case No. 2024-179)

Summary: UCLA researchers from the Departments of Electrical and Computer Engineering and Bioengineering have developed a novel assay for point-of-care testing for acute myocardial infarction. Background: Cardiovascular diseases are responsible for a substantial number of deaths and economic burdens. Acute myocardial infarction (AMI) is an event...

Published: 6/24/2024 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyou-Arm Joung, Dino Di Carlo

Keywords(s): acute myocardial infarction, Assay, Bioassay, biological assays, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular modeling, cardiovascular prediction, cardiovascular therapeutic solution, deep-learning analysis algorithms, Flow Device, heart disease mitigation, high-sensitivity cardiac troponin I, Immunoassay, Laminar flow, nanoparticle amplification chemistry, point-of-care testing, Targets And Assays, vertical flow assay

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Platforms, Platforms > Diagnostic Platform Technologies, Diagnostic Markers, Diagnostic Markers > Targets And Assays

Extended-Range Stochastic Computing (Case No. 2022-300)

Short description: Demand for deep-learning compute has continued to grow, as computation errors and accuracy issues remain among stochastic computing (SC) methods. In order to increase adoptability, proposed solutions have often been exchanged for loss of runtime or training performance. To address this issue of accuracy, Prof. Gupta et. al. proposes...

Published: 8/7/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Electrical, Optics & Photonics, Electrical > Instrumentation

Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...

Published: 4/5/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Xilin Yang

Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors

Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware

Snapshot Multispectral Imaging Using a Diffractive Optical Network (Case No. 2023-112)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based system to design diffractive multispectral imagers that can capture various spectral channels without the need for powered equipment. Background: The field of advanced imaging technologies has witnessed significant progression over...

Published: 4/3/2024 | Inventor(s): Aydogan Ozcan, Deniz Mengu

Keywords(s):

Category(s): Electrical > Imaging, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Visual Computing > Diffractive Computing

Field-Effect Transistor Biosensors Integrated With Porous Media (Case No. 2023-093)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering in collaboration with the University of Chicago have developed a new diagnostic biosensor by combining field-effect transistors with porous media. Background: Point-of-care (POC) and self-testing tools rely on the real-time monitoring of biomarkers in bodily fluids....

Published: 4/1/2024 | Inventor(s): Aydogan Ozcan, Hyou-Arm Joung, Hyun-June Jang, Junhong Chen

Keywords(s): Biomarker, biomarkers, Biomaterial, Biosensor, Computer-Aided Diagnosis, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Electrical, Electrical Engineering, electrically-mediated sensing, electrochemical sensors, enzyme functionalization, Medical diagnostics, multiplexed analysis, Point Of Care, point-of-care, porous media, sample matrix effects, transistors

Category(s): Electrical, Electrical > Sensors, Medical Devices, Medical Devices > Monitoring And Recording Systems, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Platforms, Platforms > Diagnostic Platform Technologies

Optoelectronic Neuron Array for Nonlinear Optical Modulation and AI Cameras (Case No. 2023-208)

Summary: UCLA researchers in the Departments of Chemistry & Biochemistry and Materials Science & Engineering have developed a novel optoelectronic neuron array for computational imaging and sensing applications that can work under weak broadband incoherent light. Background: Nonlinear optical processing of ambient light is desirable for...

Published: 7/9/2024 | Inventor(s): Xiangfeng Duan, Aydogan Ozcan, Dehui Zhang

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Materials, Materials > Nanotechnology, Electrical, Electrical > Signal Processing

Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184)

Summary: UCLA researchers have developed a diffractive sensor that leverages deep-learning-optimized diffractive layers to rapidly detect hidden objects and defects within a 3D sample without scanning or image processing. Background: Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and...

Published: 6/13/2024 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Deep learning-based sensing, Electrical, Electrical Engineering, Image Processing, Machine Learning, real-time sensing/monitoring/tracking, Remote Sensing, smart sensing, target detection

Category(s): Electrical, Electrical > Sensors, Optics & Photonics > Spectroscopy, Software & Algorithms > Artificial Intelligence & Machine Learning

Air Quality Monitoring Technologies using Holography and Deep Learning - Aydogan Ozcan Portfolio (2023-037, 2017-513 and 2019-722)

Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037) Innovation: UCLA researchers have developed a virtual impactor-based bio-aerosol detector. The use of a virtual impactor is coupled with computer imaging and a neural network for classification, removing the need for any maintenance-necessitating...

Published: 9/23/2024 | Inventor(s): Aydogan Ozcan

Keywords(s):

Category(s): Electrical, Electrical > Sensors, Electrical > Instrumentation

Bio-Aerosol Detection Using Mobile Microscopy and Machine Learning (Case No. 2019-722)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an air analysis instrument and accompanying virtual aerosol detection method that combines imaging and deep learning to sense and classify airborne particles without external labeling or post processing steps. Background: Air quality management, particularly...

Published: 11/7/2023 | Inventor(s): Aydogan Ozcan

Keywords(s): aerosol, Agricultural & plant biology research, air quality measurement, bioaerosol, Bioterrorism detection, Deep Learning, Deep learning-based sensing, Digital Holography, Holography, Indoor air quality monitoring, Industrial applications: food processing, fermentation, label-free sensing, pollen detection, real-time sensing/monitoring/tracking, smart sensing

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Life Science Research Tools > Microscopy And Imaging, Chemical > Chemical Sensors

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