Search Results - digital+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

Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a virtual aerosol detection method that combines imaging and deep learning to sense and classify bio-aerosols without any external labeling or post processing steps. Background: Bio-aerosol detection and classification is pivotal to understanding and...

Published: 2/27/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Tairan Liu

Keywords(s): air quality measurement, Artificial Neural Network, bioterrorism, computational imaging, Deep learning-based sensing, Digital Electronics, Digital Holography, Digital Signal Processing, Imaging, label-free imaging, label-free sensing, Mass Spec, pollen detection, Sensors, virtual impactors

Category(s): Electrical, Electrical > Sensors, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Mass Spectrometry

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

Interactive Reporting of Histopathological Image Analysis Performed by Artificial Intelligence (UCLA Case No. 2023-090)

Summary: Researchers from UCLA's Departments of Electrical and Computer Engineering and Pathology and Laboratory Medicine, along with a researcher from KUMC's Department of Pathology and Laboratory Medicine, have developed an innovative workflow for pathology, integrating artificial intelligence (AI) diagnostics with interactive reporting. Background: The...

Published: 11/28/2023 | Inventor(s): Xiang Chen, Hongyan Gu, Mohammad Haeri, Shino Magaki

Keywords(s): 2. Medical science computing, algorithmic cancer detection, Cancer, cancer detection, Computer Aided Learning, Digital Health, Digital Holography, Digital immunohistology, Digital Pathology, Histology, Histopathological image analysis, Histopathology, Immunohistochemistry

Category(s): Medical Devices, Medical Devices > Medical Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

Multi-Resolution Model With Attention for Whole Slide Image Analysis Trained Using Weak Labels (UCLA Case No. 2019-943)

Summary: UCLA Researchers in the Department of Radiology have developed a computer-aided diagnostic model that uses histology slides to interpret and detect prostate cancer diagnoses with high levels of accuracy. Background: In the United States, prostate cancer ranks as the most prevalent and second deadliest cancer among men. Diagnosing this...

Published: 8/16/2023 | Inventor(s): Corey Arnold, Jiayun Li, William Speier

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Digital Health, Digital Holography, Digital immunohistology, Digital Pathology, Machine Learning, Magnetic Resonance Imaging Pathology, MRI

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Optics & Photonics

Digital Pathology Technologies

Interactive Reporting of Histopathological Image Analysis Performed by Artificial Intelligence (UCLA Case No. 2023-090) Dr. Anthony Chen and his research team have developed an interactive and hierarchical reporting tool for histopathological image analysis, which combines AI diagnostics optimized for explainability with the pathologist's expertise...

Published: 7/27/2023 | Inventor(s):

Keywords(s): Digital Electronics, Digital Health, Digital Holography, Digital Pathology

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Medical Devices, Medical Devices > Medical 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

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