Search Results - immunohistochemistry

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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

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

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