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UCLA News
CEA Leti and Fraunhofer IPMS Expand Collaboration: Week in Brief: 5/31/24
DRESDEN, Germany, May 31, 2024 — Fraunhofer IPMS, a research and development institute for miniature photonic systems, hosted German President Frank-Walter Steinmeier and French President Emmanuel Macron during a three-day official French state visit to Germany. The heads of state were given demonstrations of semiconductor components manufactured on wafers, sensor rings for condition monitoring in mechanical engineering, and a laser scanner microscope for real-time detection of cancer cells in the operating room. As a part of
Multispectral Terahertz Imaging System Incorporates Neural Network
LOS ANGELES, Jan. 29, 2024 — Researchers at UCLA have developed a focal plane array (FPA) capable of supporting real-time multispectral terahertz (THz) video in 3D. According to the team, led by UCLA professors Mona Jarrahi and Aydogan Ozcan, this is the first time a terahertz...
Electro-Optic Modulators Improve Signal Quality and Cancel Noise
ORLANDO, Fla., Oct. 12, 2023 — Delays in optical data transmission cause inconvenient lag times in communications and interfere with immersive experiences like gaming. Two factors that adversely affect the speed and reliability of optical communication are signal distortion over...
Optical Processor Captures Scenes in Spatially Incoherent Light
LOS ANGELES, Aug. 22, 2023 — A research team led by professor Aydogan Ozcan at the University of California, Los Angeles (UCLA) developed a deep-learning-based approach to designing spatially incoherent, diffractive optical processors. The method provides a way to build...
Paper-Based Test Scans for Multiple Biomarkers in Human Serum
LOS ANGELES, May 11, 2023 — Researchers led by UCLA professor Aydogan Ozcan developed a deep learning-enabled biosensor for multiplexed, point-of-care (POC) testing of disease biomarkers. POC biosensors provide remote and resource-limited communities with an economical,...
Diffractive Optical Network Enables Snapshot Multispectral Imaging
LOS ANGELES, April 10, 2023 — UCLA researchers led by Aydogan Ozcan and Mona Jarrahi have developed a multispectral imaging technology capable of turning a monochrome sensor into a multispectral one. Rather than the traditional absorptive filters used for multispectral imaging,...
Cascaded Neural Networks Help Virtually Re-Stain Tissue Samples
LOS ANGELES, Sept. 19, 2022 — Using a cascaded deep neural network structure, a UCLA research group led by professor Aydogan Ozcan developed a computational approach for chemical-free re-staining of tissue specimens. The AI-powered technique to virtual stain transfer provided...
Diffractive Optical Network Supports Quantitative Phase Imaging
LOS ANGELES, May 25, 2022 — A team of researchers led by Aydogan Ozcan from the Electrical and Computer Engineering Department and California Nanosystems Institute at UCLA has developed a diffractive optical network to replace digital image reconstruction algorithms used in...
Passive Radiative Cooler is Built Using Common Household Items
LOS ANGELES, Nov. 30, 2021 — Using “Scotch tape” and aluminum foil, engineers at UCLA built a passive radiative cooler that lowers outdoor temperatures without electricity or refrigerants. The team’s cooler design exhibits solar reflectance, long wavelength...
Deep Learning-Trained Neural Network Reconstructs OCT Images
LOS ANGELES, Aug. 12, 2021 — A team of UCLA and University of Houston (UH) scientists, led by Aydogan Ozcan in collaboration with Kirill Larin, used deep learning to train a neural network to rapidly reconstruct OCT images using undersampled spectral data. Although the...
Semiconductor Surface States Enhance Wavelength Conversion
LOS ANGELES, Aug. 3, 2021 — Electrical engineers from the UCLA Samueli School of Engineering have introduced a solution to enhance wavelength-conversion efficiency by exploring the phenomenon of semiconductor surface states. The work, which establishes a more efficient way of...
Optical Tech Improves Heat Transfer
LOS ANGELES, April 30, 2021 — Researchers from UCLA have demonstrated a class of optical materials that control how heat radiation is directed from an object. The advance could improve the efficiency of energy conversion systems and enable more effective sensing and detecting...
Single-Pixel Detector Classifies Images Using Diffractive Optical Network
LOS ANGELES, April 8, 2021 — A single-pixel machine vision framework leverages deep-learning designed optical networks to bypass the need for an image sensor-array or digital processor. The system, developed in the lab of UCLA Chancellor’s Professor Aydogan Ozcan, paves...
Novel Photonic Chip Bridges Digital and Analog
WASHINGTON, D.C., Feb. 15, 2021 — Researchers from George Washington University (GWU) and UCLA developed and demonstrated a photonic digital-to-analog converter without leaving the optical domain. The technology has the potential to advance next-generation data-processing hardware,...
Deep Learning-Designed Network Shapes Light Pulse
LOS ANGELES, Jan. 8, 2021 — UCLA researchers developed a method to shape light pulses by creating physical networks composed of specially engineered photonic layers. Networks built on similar concepts, already capable of all-optical classification and image recognition,...
IR Imaging, AO in Spotlight as 3 Scientists Awarded Nobel Prize in Physics
WASHINGTON, D.C., Oct. 6, 2020 — Laureates Roger Penrose, Reinhard Genzel, and Andrea Ghez have been awarded the 2020 Nobel Prize in physics for discoveries related to black hole formation (Penrose) and of a black hole at the center of the Milky Way (Genzel and Ghez). Penrose,...
Neural Cells Studied After Space Gravity Exposure
LOS ANGELES, July 6, 2020 — A researcher from UCLA recently sent human brain cells into space, with the goal of understanding how they react to and develop in an environment of microgravity (weightlessness). Astronauts have reported intracranial hypertension upon returning to...
Ozcan Labs, UCLA Publish Method on Machine Learning Using Continuum of Wavelengths
LOS ANGELES, Dec. 4, 2019 — A UCLA research team led by Aydogan Ozcan has been developing a diffractive deep neural network, a machine that combines optical diffraction deep learning with light-matter interaction. The goal for the team was to engineer diffractive surfaces that...
Practice Makes Perfect: 3D Model Aids Surgical Outcomes
LOS ANGELES, Oct. 17, 2019 — Using a 3D virtual reality model to prepare for kidney tumor surgery could substantially improve the outcome of the procedure. A team led by UCLA found specifically that such preparation can result in reduced operating times, less blood loss during...
Differential Detection Improves Accuracy in Diffractive Optical Neural Networks
LOS ANGELES, Sept. 4, 2019 — Improvements to an optical neural network being designed at the University of California, Los Angeles (UCLA) take advantage of the parallelization and scalability of optical-based computational systems. The system uses a series of 3D-printed layers...
Ozcan Group Improves Inference Accuracy for All-Optical Diffractive Neural Networks
LOS ANGELES, Aug. 13, 2019 — In new research, scientists from the Ozcan lab at UCLA have demonstrated distinct improvements to the inference and generalization performance of diffractive optical neural networks. The researchers demonstrated a differential detection scheme where...
Computer Vision System Mimics Human Visualization
LOS ANGELES, Dec. 26, 2018 — A computer vision system that can identify objects based on the same method of visual learning that humans use has been developed at the UCLA Samueli School of Engineering. The system could be an advance in computer vision and a step toward general...
Mobile Device Uses Holographic Analysis, Deep Learning to Detect Parasites
LOS ANGELES, Dec. 21, 2018 — Researchers at the UCLA Henry Samueli School of Engineering have developed an inexpensive, portable platform that can detect motile parasites in bodily fluids rapidly. Using the new platform, more than 3 milliliters (ml) of a bodily fluid sample can...
DCS 2017 Brings Defense, Environment Into Focus
Feb 27, 2017 — Changes in the nature of warfare in today’s high-tech world demand the most advanced tools for soldiers and others in the defense and security sectors. Environmental and health care segments are evolving, too, as an onset of innovative...
Smartphone Microscope Detects Next-Generation DNA Sequencing Reactions
LOS ANGELES, Jan. 23, 2017 — A novel smartphone-based microscope could make DNA sequence analysis much easier, faster and more readily accessible in remote locations.
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