Search Results - microscopy

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Label-Free Optical Mapping for Large-Area Biomechanical Dynamics of Multicellular Systems (Case No. 2023-290)
Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel label-free optical mapping method for profiling real-time biomechanical dynamics over larger areas with high spatiotemporal resolution. Background: Mapping biomechanical dynamics often involves the use of various advanced technologies to measure...
Published: 12/20/2023   |   Inventor(s): Pei Yu Chiou, Yen-Ju Lin
Keywords(s): bioimaging, Biomechanics, cell imaging, Confocal Microscopy, dye, Fluorescence Microscope, labeling, Microscopy, Microscopy And Imaging, resolution, traction force microscopy
Category(s): Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Life Science Research Tools > Cell Counting And Imaging, Medical Devices, Medical Devices > Medical Imaging, Platforms, Platforms > Diagnostic Platform Technologies
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
2022-001-COMPUTER-FREE, ALL-OPTICAL RECONSTRUCTION OF HOLOGRAMS USING DIFFRACTIVE NETWORKS
SUMMARY: UCLA researchers in the Department of Electrical and Computer Engineering have developed optical diffractive networks that can perform holographic reconstructions at the speed of light without the use of computer processing. BACKGROUND: Holographic imaging has been implemented for a diverse field of applications. Holographic Imaging,...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, MD Sadman Rahman
Keywords(s): Augmented Reality, Diffraction Tomography, Digital Holography, Displays, Holography, Image Analysis, Image Processing, Machine Learning, Microscopy, Optical Tomography, Virtual Reality
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Electrical > Electronics & Semiconductors, Electrical > Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Displays
2021-210-HOLOGRAPHIC IMAGE RECONSTRUCTION WITH PHASE RECOVERY AND AUTOFOCUSING USING RECURRENT NEURAL NETWORKS
SUMMARY: UCLA researchers in the Department of Electrical & Computer Engineering have developed an innovative recurrent neural network algorithm that improves image quality and increases the speed of holographic image reconstruction. BACKGROUND: Tissue biopsies are a commonly used tool for disease diagnosis. Pathologists have been transitioning...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan
Keywords(s): Algorithm, Artificial Intelligence, Biopsy, Digital Holography, Digital Photography, Holography, Imaging, Microscopy, Microscopy And Imaging, Optics, Tissue (Biology)
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Bioinformatics, Software & Algorithms > Programs
2020-795 Single-Shot Autofocusing of Microscopy Images Using Deep Learning (DEEP-R)
Summary: UCLA researchers in the Department of Electrical Engineering have developed a deep learning-based autofocusing method for microscopy imaging (Deep-R). The method can rapidly and blindly autofocus a single-shot microscopy image of a specimen that is acquired at an arbitrary out-of-focus plane. Background: Focus is a critical factor when analyzing...
Published: 7/19/2023   |   Inventor(s): Aydogan Ozcan, Yair Rivenson, Yilin Luo, Luzhe Huang
Keywords(s): Deep Learning, Fluorescence, Fluorescence Microscope, Image Analysis, Image Processing, Microscopy, Microscopy And Imaging
Category(s): Software & Algorithms > Image Processing, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging > Fluorescence