Search Results - deniz+mengu

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Snapshot Multispectral Imaging Using a Diffractive Optical Network (Case No. 2023-112)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based system to design diffractive multispectral imagers that can capture various spectral channels without the need for powered equipment. Background: The field of advanced imaging technologies has witnessed significant progression over...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Deniz Mengu

Keywords(s):

Category(s): Electrical > Imaging, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Visual Computing > Diffractive Computing

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: 11/15/2024 | 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

2021-072 Ensemble Learning of Diffractive Optical Networks

SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering have improved the statistical inference performance of diffractive optical networks for artificial intelligence-related applications.BACKGROUNDOptical computing platforms are having renewed interest in artificial intelligence-related applications. Due to their high speed,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, MD Sadman Rahman, Jingxi Li, Yair Rivenson, Deniz Mengu

Keywords(s):

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

2021-103 Scale-, Shift- and Rotation-Invariant Diffractive Optical Networks

SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering developed a diffractive optical network training strategy that guides the design toward a scale-, shift- and rotation-invariant solution.BACKGROUNDOptical neural networks have gained popularity in the recent years over their electronic counterparts due to their power efficiency,...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Deniz Mengu, Yair Rivenson

Keywords(s):

Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

2020-932 Terahertz Pulse Shaping Using Diffractive Legos

SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering have developed an all-optical diffractive network. This learning-based diffractive pulse engineering framework utilizes deep learning and wave-optics to design an arbitrarily shaped broadband pulse into a desired waveform across a broad bandwidth and high spectral resolution.BACKGROUNDMachine...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Deniz Mengu, Yair Rivenson, Muhammed Veli

Keywords(s):

Category(s): Software & Algorithms > Communication & Networking, Software & Algorithms > Artificial Intelligence & Machine Learning

2020-174 Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks

UC Case No. 2020-174SUMMARYUCLA researchers in the Department of Electrical and Computer Engineering have developed a diffractive neural network that can process an all-optical, 3D printed neural network for deep learning applications.BACKGROUNDDeep learning, a method of machine learning that mimics the human brain’s connectivity through a series...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Deniz Mengu, Yair Rivenson

Keywords(s):

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