Search Results - histology

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Automatic System and Method for Tissue Sectioning, Staining, and Scanning
Summary: The NCI is seeking licensees to develop an automated digital pathology device compatible with high-throughput data analysis. Description of Technology: Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence...
Published: 4/23/2026   |   Updated: 8/2/2023   |   Inventor(s): Zhengping (Ping) Zhuang, Young-Wan Moon
Keywords(s): AI, Artificial Intelligence, AUTOMATION, Digital Pathology, High-throughput, Histology, IMAGING, Zhuang
Category(s): Collaboration Sought > Licensing, TherapeuticArea > Oncology, TherapeuticArea > Neurology, TherapeuticArea > Infectious Disease, Application > Medical Devices, Application > Non-Medical Devices
Novel Fixative for Improved Biomolecule Quality from Paraffin-Embedded Tissue
Abstract: Tissues samples collected during medical procedures, such as biopsies, are used to diagnose a wide variety of diseases. Before diagnosis, patient samples are typically processed by fixation and paraffin embedding. This fixation/embedding process is used to preserve tissue morphology and histology for subsequent evaluation. Unfortunately, most...
Published: 4/22/2025   |   Updated: 8/2/2023   |   Inventor(s): Stephen Hewitt, Candice Perry, Joon-Yong Chung, Robert Star
Keywords(s): CULTURE, fixative, Histology, PARAFFIN, PATHOLOGY, Tissue
Category(s): Collaboration Sought > Licensing, Application > Medical Devices, TherapeuticArea > Oncology, Application > Non-Medical Devices
Polymer-Cast Inserts for Cell Histology and Microscopy
Summary: The National Cancer Institute (NCI) seeks co-development partners and/or licensees for polymer-cast inserts for cell histology and microscopy; a system for high throughput three-dimensional (3D) cell culture and screening microscopy. Description of Technology: Three-dimensional (3D) cell cultures systems are important for studying cell biology...
Published: 4/24/2026   |   Updated: 8/2/2023   |   Inventor(s): Ralph Parchment, Thu Nguyen
Keywords(s): 3D Cell Culture, high-throughput screening, Histology, Histopathology, MICROSCOPY, Organoids, Parchment, Polymer-cast, Spheroids
Category(s): TherapeuticArea > Dermatology, TherapeuticArea > Immunology, TherapeuticArea > Infectious Disease, Collaboration Sought > Collaboration, Collaboration Sought > Licensing, Application > Research Materials
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: 7/17/2025   |   Updated: 7/24/2023   |   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
Automated Digital Pathology Device for High-Throughput Demand
Summary: The NCI is seeking licensees to develop an automated digital pathology device compatible with high-throughput data analysis. Description of Technology: Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence...
Published: 4/24/2026   |   Updated: 7/14/2023   |   Inventor(s): Zhengping (Ping) Zhuang, Young-Wan Moon, Anthony Cappadona
Keywords(s): AI, Artificial Intelligence, AUTOMATION, Digital Pathology, High-throughput, Histology, IMAGING, Zhuang
Category(s): Collaboration Sought > Licensing, TherapeuticArea > Infectious Disease, Application > Non-Medical Devices, TherapeuticArea > Neurology, Application > Medical Devices, TherapeuticArea > Oncology
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: 2/14/2025   |   Updated: 11/7/2022   |   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
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: 2/14/2025   |   Updated: 8/9/2022   |   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
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: 4/17/2026   |   Updated: 6/7/2022   |   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