Search Results - immunoassay

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Stain-Free, Rapid, and Quantitative Viral Plaque Assay Using Deep Learning and Holography (Case No. 2022-326)

Intro Sentence: UCLA researchers in the Department of Electrical and Computer Engineering have developed a rapid and stain-free quantitative assay using lens-free holography and deep learning to efficiently and cost-effectively determine the presence of viral plaque-forming units (PFUs) in samples. Background: A broad range of viruses have caused...

Published: 3/7/2024 | Inventor(s): Aydogan Ozcan, Yuzhu Li, Tairan Liu

Keywords(s): Antiviral Drug, Artifical Intelligence (Machine Learning, Data Mining), Assay, Bioassay, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Digital Holography, Electrical, Electrical Brain Stimulation, Electrical Breakdown, Electrical Engineering, Electrical Impedance, Electrical Load, Electrical Load Equation Of State, Electrical Resistance And Conductance, Electrical Resistivity And Conductivity, Holography, Immunoassay, Immunoassay Sense (Molecular Biology), Lentivirus Viral Vector, Machine Learning, Machine Learning Autonomous Car Gradient Descent, Machine Learning Pain Management, Machine Learning Particulates Global Climate Model, Network Analysis (Electrical Circuits), Perceptual Learning, Plasmid Trabecular Meshwork Aqueous Humour Viral Vector, Targets And Assays, Transcutaneous Electrical Nerve Stimulation, Transfection Viral Vector, Unsupervised Learning , Viability Assay, Viral Delivery Systems, Viral Envelope, Viral Load

Category(s): Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Other Reagents, Software & Algorithms > Artificial Intelligence & Machine Learning

Cellphone-Based Micro-Plate Reader for Point-Of-Care ELISA Testing & High-Throughput and Automated Diagnosis of Antimicrobial Resistance

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a cost-effective cellphone-based micro-plate reader to rapidly perform antimicrobial susceptibility testing (AST) with >99% accuracy. Background: Immunoassays are biochemical tests that are conducted to measure the presence and concentration of...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Dino Di Carlo, Steve Feng, Bingen Cortazar Unzaga, Brandon Berg, Haydar Ozkan, Omai Garner, Kuochao Tseng

Keywords(s): Antibacterial, Antibiotic Resistance, Antibody, Artificial Intelligence, Bacteria, Drug Resistance, ELISA, High-Throughput Screening, Immunoassay, Nanotechnology, Optics, Photonics, Point Of Care, Smartphone

Category(s): Life Science Research Tools, Life Science Research Tools > Antibodies, Diagnostic Markers, Optics & Photonics, Software & Algorithms > Artificial Intelligence & Machine Learning