Search Results - holography

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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
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
2022-258 Deep Learning-Enabled Detection and Classification of Bacterial Colonies Using a Thin Film Transistor (TFT) Image Sensor
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a thin-film transistor-based image sensor that can quantify and identify bacterial colony forming units (CFUs) with high accuracy using a deep-learning algorithm. Background: Bacterial infections are a leading cause of death every year in both developed...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, Yuzhu Li, Tairan Liu
Keywords(s): Antibacterial, Artificial Neural Network, Bacteria, Holography, Machine Learning, Magnetic Resonance Imaging Carotid Artery Stenosis, Thin-Film Transistor, Transistor
Category(s): Software & Algorithms, Life Science Research Tools, Life Science Research Tools > Screening Libraries, Materials, Materials > Nanotechnology, Materials > Semiconducting Materials, Life Science Research Tools > Cell Counting And Imaging
2022-174 Diffractive All-Optical Computing for Quantitative Phase Imaging
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical quantitative phase imaging (QPI) method that could replace traditionally burdensome and power-inefficient computational image processing networks and improve current limitations in biological imaging. Background: The application of...
Published: 2/16/2024   |   Inventor(s): Aydogan Ozcan, Deniz Mengu
Keywords(s): Diffraction Tomography, Digital Holography, Digital immunohistology, Electron Holography, Fluorescence Microscope, Histology, Holography, Immunohistochemistry, Immunology, Lighting and Illumination, on-chip microscopy, Optics, Photonics, quantitative phase imaging (QPI)
Category(s): Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Microscopy And Imaging, Electrical, Electrical > Sensors, Electrical > Signal Processing, Electrical > Imaging, Medical Devices > Medical Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Optics & Photonics > Holography
Aydogan Ozcan Holography Portfolio
2022-252 Fourier Imager Network (FIN): A Deep Neural Network for Hologram Reconstruction with Superior External Generalization 2022-001 Computer-Free, All-Optical Reconstruction of Holograms Using Diffractive Networks 2021-210 Holographic Image Reconstruction With Phase Recovery and Autofocusing Using Recurrent Neural Networks 2019-950 Computational...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan
Keywords(s): Digital Holography, Holography
Category(s): Electrical, Electrical > Imaging, Electrical > Sensors, Optics & Photonics > Holography, Optics & Photonics > Microscopy
2009-454 Nano-Plasmonic Lucas: Towards Mega-Throughput, Label-Free Genomics and Proteomics: Revolutionizing Micro-Array Technologies
Revolutionizing Micro-Array Technologies: A Microscopy Method and System Incorporating Nanofeatures Summary: UCLA researchers in the Department of Electrical Engineering have developed a novel lensfree incoherent holographic microscope using a plasmonic aperture. Background: Lensfree imaging has gained interest due to the potential to eliminate...
Published: 12/6/2023   |   Inventor(s): Aydogan Ozcan
Keywords(s): Digital Holography, Functional Genomics, Holography, Microarray
Category(s): Electrical, Life Science Research Tools
2019-737 Deep Learning-Based Color Holographic Microscopy
Summary: UCLA researchers in the Department of Electrical Engineering have developed a novel deep learning-based method that performs high-fidelity color image reconstruction using a single hologram. Background: Pathology slides are currently the gold standard in diagnostics for many diseases. Accurate color representations of well stained pathology...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, Yair Rivenson, Tairan Liu, Yibo Zhang, Zhensong Wei
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Neural Network, Computer Aided Learning, Confocal Microscopy, Cytopathology, Digital Holography, Electron Microscope, Fluorescence Microscope, Fluorescence-Lifetime Imaging Microscopy Leading Lights, Histology, Histopathology, Holography, Image Resolution, Imaging, Immunohistochemistry, Machine Learning, Magnetic Resonance Imaging Pathology, Medical Imaging, Microscope, Microscopy, Microscopy And Imaging, Neuropathology, Pathogen, Pathogenesis, Pathophysiology, Perceptual Learning, Unsupervised Learning , Wavelength
Category(s): Electrical, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Diagnostic Markers, Medical Devices > Medical Imaging
2019-002 Motility-Based Label-Free Detection of Parasites in Bodily Fluids Using Holographic Speckle Analysis and Deep Learning
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed deep learning-based, cost-effective, and portable optical devices that facilitate label-free, high-throughput and sensitive detection of motile parasites. Background: Parasitic infections are a major global public health issue, but current screening...
Published: 10/25/2023   |   Inventor(s): Aydogan Ozcan, Yibo Zhang, Hatice Ceylan Koydemir
Keywords(s): Algorithm, Artificial Intelligence, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Disease, Holography, Imaging, Infection, Infectious Diseases, Infectivity, Monitoring (Medicine), Optics, Software & Algorithms
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Therapeutics > Infectious Diseases
2022-252 Fourier Imager Network (FIN): A Deep Neural Network for Hologram Reconstruction with Superior External Generalization
Summary: UCLA researchers in the department of Electrical Engineering have developed a deep learning approach that is capable of performing image reconstruction from raw holograms, which proves to be faster and superior at reconstruction as well as generalizable to new data. Background: Holographic imaging provides significant advantages over standard...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, Hanlong Chen, Luzhe Huang
Keywords(s): Holography, Image Processing, Imaging, Machine Learning, Optical Tomography, Optics, Transformer
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics
2022-001-COMPUTER-FREE, ALL-OPTICAL RECONSTRUCTION OF HOLOGRAMS USING DIFFRACTIVE NETWORKS
SUMMARY: UCLA researchers in the Department of Electrical and Computer Engineering have developed optical diffractive networks that can perform holographic reconstructions at the speed of light without the use of computer processing. BACKGROUND: Holographic imaging has been implemented for a diverse field of applications. Holographic Imaging,...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, MD Sadman Rahman
Keywords(s): Augmented Reality, Diffraction Tomography, Digital Holography, Displays, Holography, Image Analysis, Image Processing, Machine Learning, Microscopy, Optical Tomography, Virtual Reality
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Electronics & Semiconductors, Electrical > Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Displays
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