Search Results - optics

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Summary: UCLA Researchers from the Department of Electrical and Computer Engineering have developed a novel software leveraging advanced machine learning methods to simulate and design high-power laser systems. Background: High-power laser systems are crucial to many established industries and in cutting edge research. These systems can be used in...

Published: 1/8/2024 | Inventor(s): Sergio Carbajo Garcia, Jack Hirschman, Randy Lemons

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, artificial-intelligent materials, efficient laser design, Electronics & Semiconductors, Electro-Optics, high-powered laser systems, Laser, lasers, Lens (Optics), linear optics, machine learning modeling, Medical artificial intelligence (AI), non-linear optics, Optical Communication , Optical computing, optical implementation, Optics, parameter sweeping, Physics simulation, precision engraving, precision welding, reverse engineered optical system, Semiconductor, Semiconductor Device, Semiconductor Device Fabrication, start to end optics design

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical, Electrical > Instrumentation, Optics & Photonics, Optics & Photonics > Lasers

Dual-Stage On-Chip Optical-To-Microwave Low-Noise Synthesizer (Case No. 2022-059)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed the Dual-Stage On-Chip Optical-To-Microwave Low-Noise Synthesizer, which achieves exceptional phase-noise performance by combining optical and microwave components and is poised to improve telecommunications efficiencies. Background: The field of low-noise...

Published: 4/11/2024 | Inventor(s): Chee Wei Wong, Abhinav Kumar Vinod

Keywords(s): Electronics & Semiconductors, Microwave, Optics, Photonics, Semiconductor, Signal Processing, Signal-To-Noise Ratio, Wireless

Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Signal Processing, Electrical > Wireless, Optics & Photonics

2022-230 Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network that can find applications in machine learning-related vision tasks and all-optical computing systems. Background: Optical computing is a gateway to the future, as it can revolutionize computation by making classically...

Published: 8/21/2023 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Advanced Computing / AI, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial-intelligent materials, classification, Deep Learning, diffractive network, diffractive processor, Electrical, Electrical Engineering, Internet of Things (IoT), Machine Vision, machine vision task, multiplexing, Optical Coherence , Optical Communication , Optical Fiber Copper Wire And Cable, Optical Microscope, Optics, polarization multiplexed diffractive processor, polarization multiplexing, polarization-based machine vision tasks, polarization-encoded diffractive network

Category(s): Electrical, Electrical > Instrumentation, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Optics & Photonics, Electrical > Electronics & Semiconductors

2022-286 Optical Pulse Temporal Shaping Through Nonlinear Mixing

Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed an innovative technique that can tailor spectral-temporal optical pulses for electron sources, advanced spectroscopic techniques, material processing, and proton-based cancer therapies. Background: Optical laser pulses with short wavelength and picosecond...

Published: 11/8/2023 | Inventor(s): Sergio Carbajo Garcia, Randy Lemons, Charles Durfee

Keywords(s): Adaptive Optics, bunch length, conversion efficiency photoelectric, Dispersion (Optics), electron emittance, Electro-Optics, Focus (Optics), gaussian pulses, Infrared Electromagnetic Spectrum Dispersion (Optics), Lens (Optics), Nonlinear Optics, Nonlinear Optics Molecular Dynamics, Optics, Optics Parabolic Reflector Curved Mirror, Photoinjector, Prism (Optics), temporal shaping, upconvert

Category(s): Electrical, Electrical > Instrumentation, Software & Algorithms, Optics & Photonics, Electrical > Electronics & Semiconductors

2022-174 Diffractive All-Optical Computing for Quantitative Phase Imaging

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical quantitative phase imaging (QPI) method that could replace traditionally burdensome and power-inefficient computational image processing networks and improve current limitations in biological imaging. Background: The application of...

Published: 2/16/2024 | Inventor(s): Aydogan Ozcan, Deniz Mengu

Keywords(s): Diffraction Tomography, Digital Holography, Digital immunohistology, Electron Holography, Fluorescence Microscope, Histology, Holography, Immunohistochemistry, Immunology, Lighting and Illumination, on-chip microscopy, Optics, Photonics, quantitative phase imaging (QPI)

Category(s): Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Microscopy And Imaging, Electrical, Electrical > Sensors, Electrical > Signal Processing, Electrical > Imaging, Medical Devices > Medical Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Optics & Photonics > Holography

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

2022-140 Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue Using Deep Learning

SUMMARY: UCLA researchers in the Departments of Bioengineering and Electrical and Computer Engineering have developed a deep learning-based algorithm that can detect and quantify the breast cancer marker human epidermal growth factor receptor 2 (HER2) in microscopic images without the need for time-consuming immunohistochemical staining (IHC). BACKGROUND:...

Published: 4/9/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Bijie Bai, Hongda Wang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Biomarker, Bladder Cancer, Breast Cancer, Cancer, Cancer Immunotherapy, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Test, Fluorescence, Fluorescent Labelling, HER2/Neu, Histology, Immune System, Immunohistochemistry, Life Science Research Tools, Machine Learning, Optics, Research Methods, Unsupervised Learning

Category(s): Life Science Research Tools, Life Science Research Tools > Research Methods, Diagnostic Markers, Diagnostic Markers > Immunology, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > Fluorescence, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

2019-002 Motility-Based Label-Free Detection of Parasites in Bodily Fluids Using Holographic Speckle Analysis and Deep Learning

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed deep learning-based, cost-effective, and portable optical devices that facilitate label-free, high-throughput and sensitive detection of motile parasites. Background: Parasitic infections are a major global public health issue, but current screening...

Published: 10/25/2023 | Inventor(s): Aydogan Ozcan, Yibo Zhang, Hatice Ceylan Koydemir

Keywords(s): Algorithm, Artificial Intelligence, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Disease, Holography, Imaging, Infection, Infectious Diseases, Infectivity, Monitoring (Medicine), Optics, Software & Algorithms

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Therapeutics > Infectious Diseases

Cellphone-Based Micro-Plate Reader for Point-Of-Care ELISA Testing & High-Throughput and Automated Diagnosis of Antimicrobial Resistance

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a cost-effective cellphone-based micro-plate reader to rapidly perform antimicrobial susceptibility testing (AST) with >99% accuracy. Background: Immunoassays are biochemical tests that are conducted to measure the presence and concentration of...

Published: 7/19/2023 | Inventor(s): Aydogan Ozcan, Dino Di Carlo, Steve Feng, Bingen Cortazar Unzaga, Brandon Berg, Haydar Ozkan, Omai Garner, Kuochao Tseng

Keywords(s): Antibacterial, Antibiotic Resistance, Antibody, Artificial Intelligence, Bacteria, Drug Resistance, ELISA, High-Throughput Screening, Immunoassay, Nanotechnology, Optics, Photonics, Point Of Care, Smartphone

Category(s): Life Science Research Tools, Life Science Research Tools > Antibodies, Diagnostic Markers, Optics & Photonics, Software & Algorithms > Artificial Intelligence & Machine Learning

2021-359 Seeing Through Random Diffusers Without a Computer

Summary: UCLA researchers in the department of Electrical and Computer Engineering have developed an all optics-based system that can perform image reconstruction at the speed of light for images distorted by light scattering and diffusion. Background: Imaging is an essential technique for everything from biomedical optics and atmospheric physics...

Published: 12/4/2023 | Inventor(s): Aydogan Ozcan, Yi Luo, Ege Cetintas, Yair Rivenson

Keywords(s): Automation, Computer Vision, Digital Electronics, Electronics & Semiconductors, Optics, Photonics, Remote Sensing, Robotics, Signal Reconstruction, Turbines

Category(s): Electrical, Electrical > Electronics & Semiconductors, Electrical > Imaging, Mechanical, Mechanical > Instrumentation, Mechanical > Robotics, Optics & Photonics

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