Search Results - aydogan+ozcan

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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

Diffractive Waveguides (Case No. 2025-012)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed innovative high performance diffractive waveguides adaptable to any task and that achieve desired specifications for applications spanning telecommunications, sensing, spectroscopy, and integrated photonics circuits. Background: Waveguides are crucial...

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

Keywords(s): Adaptive Optics, deep diffractive network, Deep Learning, Deep learning-based sensing, Diffraction, diffractive network, Dispersion (Optics), optimization, Phase (Waves), real-time sensing/monitoring/tracking, Waveguide, Waveguide (Electromagnetism), Waveguide Light, Waveguide Waveguide (Electromagnetism), Wavelength

Category(s): Electrical > Sensors, Electrical > Signal Processing, Electrical > Visual Computing > Diffractive Computing, Electrical > Imaging

Hidden Image Visualization and Signal Sensing Technology Portfolio

Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184) Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and medicine. Terahertz-based, non-invasive systems show promise towards this end; they penetrate most opaque materials and...

Published: 6/2/2025 | Inventor(s): Aydogan Ozcan, Achuta Kadambi, Mani Srivastava

Keywords(s):

Category(s): Electrical, Electrical > Signal Processing, Electrical > Visual Computing, Electrical > Imaging, Electrical > Displays

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing (Case No. 2025-128)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering & Bioengineering have developed a novel, high-sensitivity chemiluminescence vertical flow assay for rapid cardiac diagnostics, addressing current challenges in both modern and underserved healthcare settings. Background: Point-of-care (POC) testing is performed...

Published: 6/13/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo, Merve Eryilmaz

Keywords(s):

Category(s): Chemical, Chemical > Instrumentation & Analysis, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Electrical > Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Therapeutics, Therapeutics > Cardiovascular

Blurryscope (Case No. 2025-070)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a cost-effective digital scanning microscope to improve pathological screening. Background: High quality pathological imaging systems are essential to carefully assess tissue sectioning samples and produce accurate diagnoses for patients. Digitization...

Published: 6/11/2025 | Inventor(s): Aydogan Ozcan, Michael Fanous, Christopher Seybold

Keywords(s):

Category(s): Electrical, Electrical > Imaging, Electrical > Instrumentation, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

An Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning (Case No. 2024-260)

Summary: UCLA researchers in the Department of Electrical & Computer Engineering have developed a new phosphorescence lifetime imaging (PLI) and deep learning based continuous glucose monitoring platform with improved accuracy. Background: Glucose is a biomarker for diabetes, a chronic disease that affects over 450 million people globally....

Published: 4/8/2025 | Inventor(s): Aydogan Ozcan, Zoltan Gorocs, Artem Goncharov, Ridhi Pradhan, Brian Ko, Michael McShane

Keywords(s): Blood Glucose Monitoring, chronic diabetes management, continuous glucose monitoring (CGM), diabetes and obesity, diabetes management and monitoring, disease multiplexing, Glucose, glucose intolerance, insulin pump, type 1 and 2 diabetes

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Electrical, Electrical > Sensors

Deep Learning Achieves Super-Resolution in Fluorescence Microscopy (Case No. 2018-739)

Summary: UCLA researchers in the Department of Electrical Engineering have developed a novel high-speed and non-iterative approach of achieving super-resolution in fluorescence microscopy using deep learning. Background: Super-resolution microscopy such as structured illumination microscopy allows visualization of intricate details of cellular features...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Hongda Wang

Keywords(s):

Category(s): Electrical, Electrical > Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Optics & Photonics > Holography

All-Optical Phase Conjugation Using Diffractive Wavefront Processing (Case No. 2024-104)

Intro Sentence: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel method for all-optical phase conjugation to correct phase aberrations for various applications, including laser beam focusing and optical communications. Background: Distortion of wavefronts causes deviation from its ideal shape through...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Jingxi Li, Che-Yung Shen

Keywords(s):

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

Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification (Case No. 2024-179)

Summary: UCLA researchers from the Departments of Electrical and Computer Engineering and Bioengineering have developed a novel assay for point-of-care testing for acute myocardial infarction. Background: Cardiovascular diseases are responsible for a substantial number of deaths and economic burdens. Acute myocardial infarction (AMI) is an event...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo

Keywords(s): acute myocardial infarction, Assay, Bioassay, biological assays, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular modeling, cardiovascular prediction, cardiovascular therapeutic solution, deep-learning analysis algorithms, Flow Device, heart disease mitigation, high-sensitivity cardiac troponin I, Immunoassay, Laminar flow, nanoparticle amplification chemistry, point-of-care testing, Targets And Assays, vertical flow assay

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Platforms, Platforms > Diagnostic Platform Technologies, Diagnostic Markers, Diagnostic Markers > Targets And Assays

Extended-Range Stochastic Computing (Case No. 2022-300)

Short description: Demand for deep-learning compute has continued to grow, as computation errors and accuracy issues remain among stochastic computing (SC) methods. In order to increase adoptability, proposed solutions have often been exchanged for loss of runtime or training performance. To address this issue of accuracy, Prof. Gupta et. al. proposes...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s):

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

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