Search Results - yair+rivenson

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Deep Learning Achieves Super-Resolution in Fluorescence Microscopy (Case No. 2018-739)

Summary: UCLA researchers in the Department of Electrical Engineering have developed a novel high-speed and non-iterative approach of achieving super-resolution in fluorescence microscopy using deep learning. Background: Super-resolution microscopy such as structured illumination microscopy allows visualization of intricate details of cellular features...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Hongda Wang

Keywords(s):

Category(s): Electrical, Electrical > Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Optics & Photonics > Holography

Deep Learning-Based 3D Imaging of Fluorescent Samples from 2D Image (Case No. 2019-521)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based approach termed Deep-Z that enables 3D imaging of fluorescent samples using a single 2D image, without mechanical scanning, additional hardware, or a trade-off resolution or speed. Background: Three-dimensional (3D) fluorescence...

Published: 2/16/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Yichen Wu

Keywords(s): Image Processing, Imaging, Medical Imaging, Microscope, Microscopy And Imaging

Category(s): Electrical, Electrical > Imaging, Life Science Research Tools > Microscopy And Imaging

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

2022-140 Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue Using Deep Learning

SUMMARY: UCLA researchers in the Departments of Bioengineering and Electrical and Computer Engineering have developed a deep learning-based algorithm that can detect and quantify the breast cancer marker human epidermal growth factor receptor 2 (HER2) in microscopic images without the need for time-consuming immunohistochemical staining (IHC). BACKGROUND:...

Published: 4/9/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Bijie Bai, Hongda Wang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Biomarker, Bladder Cancer, Breast Cancer, Cancer, Cancer Immunotherapy, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Test, Fluorescence, Fluorescent Labelling, HER2/Neu, Histology, Immune System, Immunohistochemistry, Life Science Research Tools, Machine Learning, Optics, Research Methods, Unsupervised Learning

Category(s): Life Science Research Tools, Life Science Research Tools > Research Methods, Diagnostic Markers, Diagnostic Markers > Immunology, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > Fluorescence, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

2020-487 Early-Detection and Classification of Live Bacteria Using Time-Lapse Coherent Imaging and Deep Learning

Summary: Researchers from UCLA’s Electrical and Computer Engineering and Bioengineering Departments have invented a novel automated system that quickly detects and classifies colonies of live bacteria in water by using deep neural networks to analyze holographic images. Background: Early identification of pathogenic bacteria in food, water,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu

Keywords(s): Diagnostic Platform Technologies (E.G. Microfluidics), Hospital Systems And Devices, Imaging, Instrumentation & Analysis, Life Science Research Tools, Microscopy And Imaging

Category(s): Electrical > Instrumentation, Electrical > Imaging, Software & Algorithms, Diagnostic Markers, Software & Algorithms > Artificial Intelligence & Machine Learning

2021-359 Seeing Through Random Diffusers Without a Computer

Summary: UCLA researchers in the department of Electrical and Computer Engineering have developed an all optics-based system that can perform image reconstruction at the speed of light for images distorted by light scattering and diffusion. Background: Imaging is an essential technique for everything from biomedical optics and atmospheric physics...

Published: 12/4/2023 | Inventor(s): Aydogan Ozcan, Yi Luo, Ege Cetintas, Yair Rivenson

Keywords(s): Automation, Computer Vision, Digital Electronics, Electronics & Semiconductors, Optics, Photonics, Remote Sensing, Robotics, Signal Reconstruction, Turbines

Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Imaging, Mechanical, Mechanical > Instrumentation, Mechanical > Robotics, Optics & Photonics

2021-344 Biopsy-Free In Vivo Virtual Histology of Skin Using Deep Learning

Summary: UCLA researchers in the Departments of Electrical and Computer Engineering & Bioengineering have developed a non-invasive, biopsy-free technique for in vivo virtual histology of skin cancer using deep learning. Background: Tissue biopsies have often been used to diagnose skin cancers in patients. These procedures are generally cumbersome...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Jingxi Li, Yair Rivenson, Xiaoran Zhang, Philip Scumpia, Jason Garfinkel, Gennady Rubinstein

Keywords(s): Artificial Intelligence, Biopsy, Cancer, Confocal Microscopy, Diagnostic Test, Histology, Image Resolution, Invasiveness Of Surgical Procedures, Melanoma, Optics, Skin, Software, Tissue (Biology), Tumor

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Electrical > Imaging, Medical Devices > Medical Imaging, Optics & Photonics

2021-104 Deep Learning-Based Spectral Reconstruction Using a Scalable Plasmonic Encoder

Summary: UCLA researchers in the department of Electrical and Computer Engineering have developed a deep learning-based device that uses a scalable plasmonic encoder to spectrally reconstruct a variety of complex mixed data from analytical chemistry to astronomy with high spectral resolution. Background: Optical sensors have become paramount in...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Calvin Brown, Artem Goncharov, Zachary Ballard, Yair Rivenson

Keywords(s): Artificial Intelligence, Image Processing, Instrumentation & Analysis, Machine Learning, Optics, Sensors

Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

2021-072 Ensemble Learning of Diffractive Optical Networks

SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering have improved the statistical inference performance of diffractive optical networks for artificial intelligence-related applications.BACKGROUNDOptical computing platforms are having renewed interest in artificial intelligence-related applications. Due to their high speed,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Jingxi Li, Yair Rivenson, Deniz Mengu

Keywords(s):

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

2021-103 Scale-, Shift- and Rotation-Invariant Diffractive Optical Networks

SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering developed a diffractive optical network training strategy that guides the design toward a scale-, shift- and rotation-invariant solution.BACKGROUNDOptical neural networks have gained popularity in the recent years over their electronic counterparts due to their power efficiency,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Deniz Mengu, Yair Rivenson

Keywords(s):

Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

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