Search Results - histopathology

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Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)
Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....
Published: 9/20/2024   |   Inventor(s): Matthew Brown, Dieter Enzmann, John Hoffman, Michael Mcnitt-Gray
Keywords(s): AI algorithms, Algorithm, Algorithm Optical Coherence Tomography, algorithmic cancer detection, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Big Data, Bladder Cancer, blood cancers, Brain cancer, Breast Cancer, Cancer, cancer antigen, cancer detection, Cancer Immunotherapy, Cancer stem cells, cancer target, Computed tomography, CT, Deep Learning, design software, Digital Pathology, generative artificial intelligence, Genetic Algorithm, Histopathological image analysis, Histopathology, histopathology images, hyperparameter optimization, Image Analysis, Image Processing, lympathic cancers, lymphatic cancer, Medical artificial intelligence (AI), Mesenchymal Stem Cell Derived Cancer Cells, Orthotopic cancer models, Pancreatic cancer, pathology image analysis, Photon counting computed tomography (PCCT), prostate cancer, Radiology, Radiology / Radiomitigation, Software, Software & Algorithms, Software Development Tools, Software-enabled learning
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics
Copyright: Smart Histopathological Image Viewer With Guidance Generated by Artificial Intelligence (Case No. 2023-103)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-guided, smart histopathological image viewer to aid clinicians in the identification of regions of interest. Background: Digital pathology has transformed traditional glass histology slides into high-resolution digital slide images, priming the...
Published: 10/25/2023   |   Inventor(s): Xiang Chen, Hongyan Gu, Mohammad Haeri, Shino Magaki
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Neural Network, Clinical decision support system, Computer-Aided Diagnosis, Digital Health, Digital Pathology, Histopathological image analysis, Histopathology, histopathology images, Human-AI collaboration, Human-AI interaction, Medical artificial intelligence (AI), Medical Imaging, pathology image analysis
Category(s): Electrical, Electrical > Imaging, Medical Devices, Medical Devices > Medical Imaging, Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing
Polymer-Cast Inserts for Cell Histology and Microscopy
Abstract: Three-dimensional (3D) cell cultures systems are important for studying cell biology because they provide in vivo-like microenvironments more physiologically relevant than two-dimensional (2D) culture systems. In 3D culture systems, cells are grown in culture matrixes and turn into spheroids and organoids later processed for downstream analysis...
Published: 4/8/2024   |   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: 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
2014-9AG Wide-Field Computational Imaging of Pathology Slides Using Lensfree On-Chip Microscopy
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a wide field-of-view (FOV) computational imaging method using lens-free on-chip microscopy to efficiently and cost-effectively scan biological samples such as pathology slides. Background: Wide field-of-view (FOV) and high-resolution imaging is crucial...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, Alon Greenbaum, Yibo Zhang, Alborz Feizi, Wei Luo
Keywords(s): 4Pi Microscope, Adaptive Optics, Animal Imaging, Antenna (Radio) Flip Chip DisplayPort, Artificial Intelligence, Atomic Force Microscopy, Atomic Force Microscopy Insulator (Electricity), Atomic Force Microscopy Optical Tweezers, Bright Field Microscopy, Cardiac Magnetic Resonance Imaging, Cell Counting/Imaging, Chipset, Confocal Microscopy, Cytopathology, Dark Field Microscopy, Dispersion (Optics), Electron Microscope, Electro-Optics, Fluorescence Microscope, Fluorescence-Lifetime Imaging Microscopy Leading Lights, Focus (Optics), Functional Magnetic Resonance Imaging, Histopathology, Hyperspectral Imaging, Imaging, Infrared Electromagnetic Spectrum Dispersion (Optics), Lab-On-A-Chip, Lens (Optics), Magnetic Resonance Imaging, Magnetic Resonance Imaging Carotid Artery Stenosis, Magnetic Resonance Imaging Hypoxia (Medical), Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Microangiopathy, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Magnetic Resonance Imaging Unmanned Aerial Vehicle, Medical Imaging, Medical Imaging Eyepiece, Microscale Chemistry, Microscope, Microscopy, Microscopy And Imaging, Molecular Imaging, Molecular Imaging Physics Of Magnetic Resonance Imaging, Molecular Imaging Ylide, Near-Field Scanning Optical Microscope, Network On A Chip, Neuroimaging, Neuropathology, Nonlinear Optics, Nonlinear Optics Molecular Dynamics, Optical Microscope, Optics, Optics Parabolic Reflector Curved Mirror, Phase-Contrast Imaging, Phase-Contrast Imaging Genomics, Prism (Optics), Scanning Probe Microscopy, Scanning Tunneling Microscope, Serial Time-Encoded Amplified Microscopy, STED Microscopy, Stereo Microscope, Super Resolution Microscopy, System On A Chip, Transmission Electron Microscopy
Category(s): Life Science Research Tools, Electrical, Electrical > Imaging, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Medical Devices > Medical 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