Search Results - image+signal+processing

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Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...

Published: 6/25/2025 | Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li

Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures

Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs

Batch Processing for Imaris Stitcher (Case No. 2025-089)

Summary: Researchers in UCLA’s Department of Neurobiology have developed a novel software tool that enhances the capabilities of Imaris Stitcher. The tool enables batch processing and automated execution of multiple image stitching jobs, significantly improving workflow efficiency and reducing hands-on time. This results in readily available,...

Published: 5/13/2025 | Inventor(s): Ian Bowman, Mitchell Rudd, Hong Wei Dong

Keywords(s): 3D tissue imaging, 3D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, bioimaging, Cell Counting/Imaging, cell imaging, cell mapping, computational imaging, Data Acquisition, Data Aggregator, Data Analytics, Data Recovery, Data Structure, Fluorescence Microscope, histopathology images, Image Analysis, image restoration, image signal processing, Imaging, Magnetic Resonance Imaging, Medical artificial intelligence (AI), Medical Imaging, Microscope, Microscopy, Microscopy And Imaging, Molecular Imaging, multi-contrast imaging, Neuroimaging, non-invasive imaging, pathology image analysis, Phase-Contrast Imaging, three dimensional imaging, volumetric image

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing

Carrier Storage Frequency Divider Using Silicon PIN Diodes (Case No. 2025-023)

Summary: Researchers in UCLA’s Department of Electrical and Computer Engineering have designed and fabricated an innovative device capable of frequency division at the Terahertz range, featuring low power consumption, quadrature outputs, and high sensitivity. Background: Traditional electronic and optical devices struggle to operate at the...

Published: 5/2/2025 | Inventor(s): Sidharth Thomas, Aydin Babakhani, Benyamin Fallahi Motlagh

Keywords(s): Analogue Electronics, Antennas/Wireless, artificial electromagnetic materials, Bandwidth (Signal Processing), Bioelectromagnetics, bioelectronics, bistable electroactive polymer, Cardiac Electrophysiology, Consumer Electronics, Continuous-Wave Radar, Digital Electronics, Digital Signal Processing, Electrical Engineering, Electroactive Polymers, Electrocatalyst, electrochemical sensors, Electrode, Electrode 3D Printing, electrodeposition, electrodes, Electroencephalography, Electroencephalography (EEG), Electroencephalography Microsecond Neurofeedback, Electrolyte, electromagnetic, Electromagnetism, Electron, electron emittance, Electron Gun, Electronics & Semiconductors, energy-efficient wireless communication, Extremely High Frequency, high-frequency signals, image signal processing, Imaging, Integrated Circuit, low-power device, Optical networks, PIN Diode, power conversion efficiency, Radar, Radar / Antennae, Remote Sensing, Semiconductor, Semiconductor Device, Semiconductors, signal decoding, Signal Processing, Silicon, Synthetic aperture radar (SAR), Wireless, wireless communication, wireless connectivity, Wireless Sensor Network, wireless spectrum

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

A Self-Assembled Implantable Microtubular Pacemaker for Wireless Cardiac Electrotherapy (Case No. 2024-059)

Summary: UCLA researchers in the Department of Bioengineering have developed a novel implantable microtubular pacemaker for reliable and comfortable pacing for patients with arrythmias. Background: Cardiac pacemakers are essential devices used to manage abnormal heart rhythms, or arrythmias, by sending electrical pulses to prompt the heart to beat...

Published: 3/26/2025 | Inventor(s): Tzung Hsiai, Shaolei Wang

Keywords(s): arrhythmia, Cardiac Electrophysiology, cardiovascular monitoring, central venous pressure (CVP), Continuous blood pressure monitoring, critical care, heart failure, hemodynamic monitoring, image signal processing, implantable sensors, medical device cardiac monitoring, non-invasive monitoring, pulmonary arterial pressure (PAP), wearable

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Electrical, Electrical > Flexible Electronics, Medical Devices > Hospital Systems, Medical Devices > Cardiac