Search Results - life+science+research+tools

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Refractive Index-Corrected Light-Sheet Microscopy (Case No. 2025-176)
Summary: UCLA researchers from the Department of Medicine have developed a novel light-sheet fluorescence microscopy system that enables adaptive imaging across a range of refractive indices for enhanced biomedical imaging. Background: Light-sheet fluorescence microscopy (LSFM) has revolutionized biomedical imaging by allowing rapid and high-resolution...
Published: 8/15/2025   |   Inventor(s): Tzung Hsiai, Enbo Zhu
Keywords(s): bioimaging, cell imaging, Fluorescence, fluorescence lifetime, Fluorescence Microscope, fluorescence microscopy, Fluorescence-Lifetime Imaging Microscopy Leading Lights, Fluorescent Labelling, Hyperspectral Imaging, immunofluorescence, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope
Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > Fluorescence, Optics & Photonics, Optics & Photonics > Microscopy, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging
Method and System for Removing Stimulation Artifact in Neural Recording System Under Arbitrary Waveform Stimulations (Case No. 2024-010)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel hard-ware based system for real-time removal of stimulation artifacts in neural recordings, enabling greater scalability, flexibility, and efficiency in neuromodulation and neurotechnology applications. Background: Neuromodulation research depends...
Published: 8/21/2025   |   Inventor(s): Wentai Liu, Yan-Peng Chen
Keywords(s): Brain Mapping, Electrical, Electrical Brain Stimulation, Electrical stimulation, Electrode, electrodes, graph neural network, High-resolution, image and video enhancement, Image Resolution, large range, large-area arrays, Memory, neural network, neural networks, neural signals, neural stimulation, operating range, resolution, video processing
Category(s): Life Science Research Tools, Medical Devices > Neural Stimulation, Electrical > Computing Hardware, Electrical, Medical Devices
Multi-Particle System for Capture and Detection of Cellular and Molecular Analytes (Case No. 2025-267)
Summary: UCLA researchers in the Department of Bioengineering have developed a novel multi-particle system that selectively confines cells and molecular reactions within cavities formed by interacting particles. Background: Screening and selecting cells with specific, beneficial traits has become a vital process in using cell-derived products...
Published: 7/29/2025   |   Inventor(s): Dino Di Carlo, Alyssa Arnheim, Michael Mellody, Yuta Nakagawa, Lily Shang
Keywords(s): Assay, B Cell, barcode, Bioassay, biological assays, Biomarker, biomarkers, Biomaterial, capping particles, CAR-T cell platform, CAR-T cell therapy, cavities, cavity-containing particles, Cell and tissue culture, cell encapsulation, cell engineering, cell imaging, cell mapping, cell sorting, cell type identification, cell-based therapy, centrifugation, confinement, Diagnostic Platform Technologies (E.G. Microfluidics), Digital Microfluidics, Drug, Drug Delivery, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, Immunoassay, Immunoassay Sense (Molecular Biology), Microfluidics, Microfluidics And Mem's, Microfluidics Nanosphere, microparticles, moieties, Nanoparticle, single cell analysis, single cell analysis and testing, Single cell data, single-cell resolution, single-cell trapping
Category(s): Life Science Research Tools, Life Science Research Tools > Cell Counting And Imaging, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Life Science Research Tools > Microfluidics And Mems, Medical Devices, Platforms
Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 7/23/2025   |   Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang
Keywords(s): 3D tissue imaging, AI-guided diagnostics, AI-guided medical imaging, AI-guided medical intervention, arthritis, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, bioimaging, Computer-Aided Diagnosis, computer-aided radiology, Diagnostic Markers & Platforms, Diagnostic Test, diagnostics, generative artificial intelligence, Image Analysis, Image Resolution, Imaging, infrared thermal imaging, Machine Learning, machine learning modeling, machine perception, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Medical artificial intelligence (AI), Medical diagnostics, Medical Imaging, Microscopy And Imaging, non-invasive imaging, osteoarthritis, radial MRI, radiologic imaging, Radiology, Radiology / Radiomitigation, radiosurgery
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Therapeutics, Therapeutics > Musculoskeletal Disease, Therapeutics > Radiology
Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)
Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...
Published: 8/19/2025   |   Inventor(s): Andrea Bertozzi, Anne Andrews, Matthew Tyler, Paolo Climaco, Noelle Mitchell
Keywords(s): Advanced Computing / AI, advanced computing methods, Aptamers, Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence/machine learning models, bioinformatics pipeline, cancer target, clustering, computational efficiency, computational efficiency and analysis, design software, DNA clustering, DNA oligomer, DNA Sequencing, Drug, Drug Delivery, Drug Development, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, interpretability, pipeline, large-scale parallelization, Machine Learning, machine learning modeling, motif structures, open source, open source code, OpenAI, Pharmaceutical Drug, protein classification, secondary structure, SELEX, sequences of interest, single strand DNA sequences, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, subgraph matching, target binding, target detection, Targeted Therapy, Targets And Assays, tissue targeting accuracy
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Screening Libraries, Platforms, Platforms > Drug Delivery, Diagnostic Markers > Targets And Assays, Diagnostic Markers, Software & Algorithms > Bioinformatics
Lab on a 3D Printer (Case No. 2025-094)
Summary: UCLA researchers in the Department of Bioengineering have developed a novel device capable of performing automated liquid handling to a great degree of precision on a miniaturized scale and with customizable features equipped for any laboratory task. Background: Automated liquid handling is essential in pharmaceutical and biotechnology research...
Published: 8/21/2025   |   Inventor(s): Dino Di Carlo, Shun Ye, Zixin Guan, Artem Goncharov, Vivek Rajasenan, Charlotte Rose McDonough, Tristan Lovely
Keywords(s): 3D biofabrication, 3D Printing, Automation, bioimaging, biomanufacturing, Biomaterial 3D Printing, Biomonitoring, Biosensor, Biotechnology, Drug Discovery, fluid mechanics, graphical user interface, Liquid tracking, mechanical durability, Robotic liquid handling
Category(s): Life Science Research Tools, Medical Devices, Diagnostic Markers, Life Science Research Tools > Lab Equipment, Mechanical
A Ventilated Artificial Human Lung Exposure System to Analyze and Test Human Exposures to Inhaled Substances (Case No. 2023-306)
Summary: UCLA researchers in the Department of Medicine and Environmental Health Sciences have developed a ventilated human lung system for laboratory testing of inhaled substances. Background: Measuring the toxicology of inhaled air, aerosols and other substances is challenging due to the complexity of human studies and limitations in existing...
Published: 7/28/2025   |   Inventor(s): Michael Roth, Airi Harui, Yifang Zhu, Haoxuan Chen
Keywords(s): aerosol, Angiogenesis Acute Lung Injury, bioaerosol, cardiopulmonary illness, Cellular Respiration, consumer goods and products, Lung, Lung Pulmonology, non-small cell lung cancer, Preclinical model development, Preclinical surgical innovation, pulmonary arterial pressure (PAP), pulmonary failure, Pulmonary fibrosis, Respiratory & Pulmonary, respiratory failure, right atrial to pulmonary canula, Simulation & Modeling, simulation model, small cell lung cancer
Category(s): Platforms, Platforms > Drug Delivery, Life Science Research Tools, Life Science Research Tools > Research Methods, Therapeutics, Therapeutics > Respiratory And Pulmonary, Mechanical, Mechanical > Sensors
Single-Chain Bispecific Chimeric Antigen Receptor Targeting BCMA and CS1 for the Treatment of Multiple Myeloma (UCLA Case No. 2018-680)
UCLA researchers in the Department of Chemical and Biomolecular Engineering have developed a single-chain bispecific chimeric antigen receptor targeting BCMA and CS1 for treating multiple myeloma. BACKGROUND: Multiple myeloma (MM) is a cancer of the plasma cells that accounts for over 30,000 new diagnoses each year, according to the American Cancer...
Published: 7/31/2025   |   Inventor(s): Yvonne Chen, Eugenia Zah
Keywords(s): Hematology, Immunotherapy, Life Science Research Tools, Therapeutics & Vaccines
Category(s): Life Science Research Tools, Therapeutics > Immunology And Immunotherapy, Therapeutics > Hematology
A Fabrication Method for High-Precision, Large-Area Acoustic Single-Cell Trapping Devices (Case No. 2025-115)
Summary: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a novel fabrication method for single-cell trapping devices. Background: Single-cell analysis is critical to personalized medicine, diagnostics, and biomedical research, as it allows researchers to identify, isolate, and expand desired cell subpopulations....
Published: 8/8/2025   |   Inventor(s): Pei-Yu Chiou, Jacob Smith
Keywords(s): acoustic manipulation, acoustics, air cavity formation, cell sorting, compliant membrane acoustic patterning (CMAP), Diagnostic Platform Technologies (E.G. Microfluidics), Digital Microfluidics, high-throughput analysis, large-area arrays, MEMS, Microfluidics, Microfluidics And Mem's, Microfluidics Dielectrophoresis, Microfluidics Multi-Band Device, Microfluidics Nanosphere, near-infrared (NIR) pulsed laser, PDMS, PDMS membranes, single cell analysis, Single cell data, single-cell resolution, single-cell trapping
Category(s): Materials, Materials > Membranes, Life Science Research Tools, Life Science Research Tools > Microfluidics And Mems, Life Science Research Tools > Cell Counting And Imaging, Platforms
Blurryscope (Case No. 2025-070)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a cost-effective digital scanning microscope to improve pathological screening. Background: High quality pathological imaging systems are essential to carefully assess tissue sectioning samples and produce accurate diagnoses for patients. Digitization...
Published: 6/11/2025   |   Inventor(s): Aydogan Ozcan, Michael Fanous, Christopher Seybold
Keywords(s):  
Category(s): Electrical, Electrical > Imaging, Electrical > Instrumentation, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing
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