Search Results - algorithm+optical+coherence+tomography

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Nanocomposite Scintillators (Case No. 2024-126)

Summary: UCLA researchers from the Department of Materials Science and Engineering have developed a novel nanocomposite material for high-efficiency radiation detection and monitoring. Background: Scintillators are materials that emit light when they absorb radiation, such as gamma rays or x-rays. The photons generated by the scintillators can...

Published: 5/15/2024 | Inventor(s): Qibing Pei, Ziqing Han

Keywords(s): adhesive material, Algorithm Optical Coherence Tomography, anode material, artificial electromagnetic materials, artificial-intelligent materials, background radiation, Biomaterial, Biomaterial 3D Printing, bulk material, Composite Material, composite scintillators, Computed tomography, Computerized Tomography scan (CT), Diffraction Tomography, Drug Delivery Microporous Material, fast scintillators, gamma spectroscopy, High resolution computed tomography, high-Z organometallics, hole transporting material, Hyperelastic Material, intercalated materials, material characterization, Materials, meta materials, metal nanocomposites, microarchitectured materials, nanocomposite scintillators, Nanocomposites, Nanomaterials, Nanoparticle, Nanoparticles, nanostructured materials, neutrino detection, Optical Tomography, Optoelectronic materials, photonic materials, positron emission tomography (PET), radiation detection, Raw materials supplier, scintillators, second harmonic generation, Smart Material, Solar Cell Metamaterial, Surgical Instrument Optical Coherence Tomography, suturable biomaterial, X-Ray Computed Tomography

Category(s): Chemical, Chemical > Chemical Sensors, Materials, Materials > Functional Materials

Giant Second-Harmonic Generation in Bulk Monolayer MoS2 Thin Films (Case No. 2024-186)

Summary: UCLA researchers in the department of Chemistry and Biochemistry have developed a method to control electron density in molybdenum disulfide (MoS2) thin films that can be used to improve optical material characteristics. Background: Second harmonic generation (SHG) is an optical process in which light interacts with a nonlinear material...

Published: 11/19/2024 | Inventor(s): Xiangfeng Duan, Yu Huang, Boxuan Zhou

Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Atomic Force Microscopy Optical Tweezers, bulk monolayer, Composite Material, Composite Materials, Dispersion (Optics), Electro-Optics, Focus (Optics), Functional Materials, Infrared Electromagnetic Spectrum Dispersion (Optics), linear optics, material characterization, Materials, molybdenum disulfide (MOS2), monolayer, Nanomaterials, Near-Field Scanning Optical Microscope, nonlinear dynamics, Nonlinear Optics, non-linear optics, Nonlinear Optics Molecular Dynamics, Optical Coherence , Optical Communication , Optical computing, optical implementation, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, Optoelectronic materials, reverse engineered optical system, second harmonic generation, start to end optics design, Surgical Instrument Optical Coherence Tomography

Category(s): Materials, Materials > Functional Materials, Optics & Photonics, Chemical, Chemical > Instrumentation & Analysis

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

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

AI Models for Ocular Diseases Using Optical Coherence Tomography (Case No. 2022-113)

Summary: UCLA researchers in the Department of Computational Medicine have developed a computer program capable of automatically and accurately diagnosing optical diseases using OCT. Background: Optical diseases, such as age-related macular degeneration, are serious issues that, if left untreated, can result in partial and even complete blindness....

Published: 10/31/2024 | Inventor(s): Jeffrey Chiang, Srinivas Sadda, Eran Halperin

Keywords(s): Algorithm Optical Coherence Tomography, Artificial Intelligence, Eye Surgery, Intraocular Lens , Lens (Optics), Macular Degeneration, Optical Coherence , Optical Microscope, Optical Tomography

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging