Search Results - microscopy+and+imaging

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Squeezed Light Field Microscopy (SLIM) (Case No. 2024-153)

Summary: UCLA researchers in the Department of Bioengineering have developed a computational imaging method that enables detection of 3D light signals using only a single camera sensor area for optimized surgical visualization. Background: Surgical procedures necessitate high precision imaging, especially when targeting specific anatomical structures....

Published: 11/6/2024 | Inventor(s): Liang Gao, Zhaoqiang Wang, Ruixuan Zhao

Keywords(s): 3D tissue imaging, computational imaging, image-guided surgery, Imaging, Microscopy, Microscopy And Imaging, Neuroimaging

Category(s): Life Science Research Tools > Microscopy And Imaging, Medical Devices > Medical Imaging > Fluorescence

Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...

Published: 4/5/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Xilin Yang

Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors

Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware

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: 6/27/2024 | 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

Deep Learning-Based 3D Imaging of Fluorescent Samples from 2D Image (Case No. 2019-521)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based approach termed Deep-Z that enables 3D imaging of fluorescent samples using a single 2D image, without mechanical scanning, additional hardware, or a trade-off resolution or speed. Background: Three-dimensional (3D) fluorescence...

Published: 2/16/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Yichen Wu

Keywords(s): Image Processing, Imaging, Medical Imaging, Microscope, Microscopy And Imaging

Category(s): Electrical, Electrical > Imaging, Life Science Research Tools > Microscopy And Imaging

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

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

2019-346 Low-Cost And Portable UV Holographic Microscope For High-Contrast Protein Crystal Imaging

Summary: UCLA researchers in the Department of Electrical Engineering have developed an on-chip UV holographic imaging microscope that offers a low-cost, portable, and robust technique to image and distinguish protein crystals from salt crystals. Background: Dual-mode microscopes composed of bright-field and ultraviolet (UV) induced fluorescence...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Aniruddha Ray, Mustafa Daloglu

Keywords(s): Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Life Science Research Tools, Medical Devices and Materials, Medical Imaging, Microscopy And Imaging, Monitoring And Recording Systems, Other

Category(s): Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies

2020-487 Early-Detection and Classification of Live Bacteria Using Time-Lapse Coherent Imaging and Deep Learning

Summary: Researchers from UCLA’s Electrical and Computer Engineering and Bioengineering Departments have invented a novel automated system that quickly detects and classifies colonies of live bacteria in water by using deep neural networks to analyze holographic images. Background: Early identification of pathogenic bacteria in food, water,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu

Keywords(s): Diagnostic Platform Technologies (E.G. Microfluidics), Hospital Systems And Devices, Imaging, Instrumentation & Analysis, Life Science Research Tools, Microscopy And Imaging

Category(s): Electrical > Instrumentation, Electrical > Imaging, Software & Algorithms, Diagnostic Markers, Software & Algorithms > Artificial Intelligence & Machine Learning

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: 11/15/2024 | 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

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