Search Results - imaging

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Steric Hindrance Effect of Additives for Tuning the Perovskite Crystal Orientation (Case No. 2024-023)

Summary: UCLA Researchers in the Department of Materials Science and Engineering have developed a method to tune perovskite crystal orientation for increased performance, energy efficiency, and reduced material defect with a variety of field applications, including solar cells and LEDs. Background: Perovskite holds considerable promise as a highly...

Published: 10/25/2024 | Inventor(s): Yang Yang, Chunqing Ma, Haoxiang Duan, Dong Meng

Keywords(s): Energy Efficiency, energy-efficient, Imaging, Liquid-Crystal Display, Nanocrystal, OLED, Optoelectronics, organic photo detector, organic photovoltaics, perovskite, perovskite devices, perovskite solar cell, photodetection, Solar Cell, X-ray detectors

Category(s): Chemical > Chemical Processing & Manufacturing, Energy & Environment > Energy Efficiency, Energy & Environment, Materials > Composite Materials, Optics & Photonics, Optics & Photonics > Fiber Optics, Materials > Functional Materials

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

Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a virtual aerosol detection method that combines imaging and deep learning to sense and classify bio-aerosols without any external labeling or post processing steps. Background: Bio-aerosol detection and classification is pivotal to understanding and...

Published: 8/7/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Tairan Liu

Keywords(s): air quality measurement, Artificial Neural Network, bioterrorism, computational imaging, Deep learning-based sensing, Digital Electronics, Digital Holography, Digital Signal Processing, Imaging, label-free imaging, label-free sensing, Mass Spec, pollen detection, Sensors, virtual impactors

Category(s): Electrical, Electrical > Sensors, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Mass Spectrometry

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

A Deep-Learning Framework for Quantitative Magnetic Resonance Imaging (Case No. 2021-268)

Summary: Researchers from UCLA’s Departments of Bioengineering and Radiological Sciences have developed a novel deep learning framework for accelerated quantitative magnetic resonance imaging. Background: Fatty liver disease, or hepatic steatosis, affects nearly 2 billion people globally and has pernicious implications for deadlier diseases...

Published: 8/8/2024 | Inventor(s): Holden Wu, Shu-Fu Shih

Keywords(s): Deep Learning, fat quantification, IIM framework, Imaging, Medical Imaging, Metabolic/Endocrinology, MRI, multiparametric MRI (mpMRI), radial MRI, uncertainty estimation

Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Electrical, Electrical > Imaging, Software & Algorithms

A Uniform AI Framework for Automated Detection of Disease-Related Risk Factors in 3D Medical Imaging Data

Summary: UCLA researchers from the Departments of Anesthesiology & Perioperative Medicine, Ophthalmology, Computational Medicine, and Computer Science have developed a novel uniform framework to diagnose disease-related risk factors in any volumetric medical imaging data. Background: Automated diagnosis of medical imaging is undoubtedly important...

Published: 10/4/2024 | Inventor(s): Oren Avram, Eran Halperin, Berkin Durmus, Nadav Rakocz, Jeffrey Chiang, Srinivas Sadda

Keywords(s): Advanced Computing / AI, AI algorithms, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Biomarker, Biomedical Engineering, Computer-Aided Design, Deep Learning, Imaging, Magnetic Resonance Imaging, Medical Imaging

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

2023-001 Skinprofiler: Low-Cost 3D Scanner for Skin Health Monitoring With Mobile Devices

Summary: UCLA researchers in the Electrical and Computer Engineering Department have developed SkinProfiler, an end-to-end skin profiling system that reconstructs and keeps track of 3D geometries of skin lesions and moles for long-term out-of-clinic skin health monitoring. Background: Skin cancers are among the most common types of cancer. In particular,...

Published: 7/19/2023 | Inventor(s): Yang Zhang

Keywords(s): Cancer, Digital Health, Imaging, Melanoma, Mobile Phone, Skin, Smartphone

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

2022-088 Neural Networks for Adipose Tissue Segmentation on Magnetic Resonance Images

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel neural network that can segment and quantify visceral and subcutaneous adipose tissues on magnetic resonance images automatically, accurately, and rapidly, to enhance clinical methods for characterizing and monitoring risk for cardiometabolic diseases in patients...

Published: 9/25/2024 | Inventor(s): Holden Wu, Sevgi Gokce Kafali-Tekat

Keywords(s): Advanced Computing / AI, Artificial Neural Network, Artificial Neural Network Artificial Neuron, cardiometabolic disease, Hypertension, Imaging, Machine Learning, Magnetic Resonance Imaging, Magnetic Resonance Imaging Pathology, Medical Imaging, MRI, multi-contrast imaging, obesity, Tissue (Biology), tissue annotation, tissue detection, tissue ribbons alignment, tissue segmentation

Category(s): Medical Devices > Medical Imaging, Platforms > Diagnostic Platform Technologies, Medical Devices > Medical Imaging > MRI, Therapeutics > Metabolism And Endocrinology

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

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