Search Results - immunohistochemistry

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Automated Cancer Diagnostic Tool of Detecting, Quantifying and Mapping Mitotically-Active Proliferative Cells in Tumor Tissue Histopathology Whole-Slide Images
Abstract: Cancer diagnosis is based on the assessment of patient biopsies to determine the tumor type, grade, and stage of malignancy. The proliferative potential of tumors correlates to their growth and metastasis. Visually identifying and quantifying mitotic figures (MF) in cancer biopsy tissue can be used as a surrogate for proliferative activity...
Published: 5/23/2024   |   Inventor(s): Robert Simpson, Stephen Hewitt, Shelley Hoover, Munish Puri
Keywords(s): Cancer Biopsy, diagnostic, Hewitt, HS, IHC, Immunohistochemistry, MF, Mitotic Figure, Mitotic Hotspots, Simpson, Tissue Histopathology
Category(s): Collaboration Sought > Collaboration, TherapeuticArea > Oncology, Collaboration Sought > Licensing, Application > Software / Apps
Biomarker for Predicting Taxane Chemotherapy Outcome
Abstract: Over the past decades, taxanes such as paclitaxel and docetaxel have emerged as effective chemotherapy agents for breast cancer and other malignancies. Taxanes are effective in many patients, however, not all patients benefit from this type of chemotherapy. A significant need remains for a means of predicting clinical outcome from taxane-based...
Published: 4/8/2024   |   Inventor(s): Sherry Yang, Sandra Swain
Keywords(s): APOPTOSIS, Biomarkers, Docetaxel, Immunohistochemistry, PACLITAXEL, pAkt, taxane
Category(s): Collaboration Sought > Licensing, Application > Diagnostics, TherapeuticArea > Oncology
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: 10/25/2024   |   Inventor(s): Xiang Chen, Hongyan Gu, Mohammad Haeri, Shino Magaki
Keywords(s): algorithmic cancer detection, Cancer, cancer detection, Computer Aided Learning, Digital Health, Digital Holography, Digital immunohistology, Digital Pathology, Histology, Histopathological image analysis, Histopathology, Immunohistochemistry, Medical science computing
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