Search Results - yilin+luo

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Virtual Impactor-Based Label-Free Bio-Aerosol Detection Using Holography and Deep Learning (Case No. 2023-037)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a virtual aerosol detection method that combines imaging and deep learning to sense and classify bio-aerosols without any external labeling or post processing steps. Background: Bio-aerosol detection and classification is pivotal to understanding and...

Published: 8/7/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Tairan Liu

Keywords(s): air quality measurement, Artificial Neural Network, bioterrorism, computational imaging, Deep learning-based sensing, Digital Electronics, Digital Holography, Digital Signal Processing, Imaging, label-free imaging, label-free sensing, Mass Spec, pollen detection, Sensors, virtual impactors

Category(s): Electrical, Electrical > Sensors, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Mass Spectrometry

Class-Specific Diffractive Cameras with All-Optical Erasure of Undesired Objects (Case No. 2022-287)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel camera design that is capable of target-specific imaging with instantaneous optical erasure of irrelevant objects. Background: There are over 1 billion surveillance cameras around the world today, and the installation of such video surveillance...

Published: 10/30/2024 | Inventor(s): Aydogan Ozcan, Yi Luo, Bijie Bai

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Camera, Cameras, Computer Vision, Deep Learning, Surveillance

Category(s): Electrical, Electrical > Imaging, Electrical > Signal Processing, 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

2021-333 Quantitative Particle Agglutination Assay for Point-Of-Care Testing Using Mobile Holographic Imaging and Deep Learning

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a method that increases the sensitivity of particle agglutination assays and reduces the required sample volume. Background: Particle agglutination assays are simple immunological tests that can be utilized to diagnose a wide range of illnesses. These...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Hyou-Arm Joung, Yi Luo

Keywords(s):

Category(s): Diagnostic Markers > Targets And Assays, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics > Holography

2020-795 Single-Shot Autofocusing of Microscopy Images Using Deep Learning (DEEP-R)

Summary: UCLA researchers in the Department of Electrical Engineering have developed a deep learning-based autofocusing method for microscopy imaging (Deep-R). The method can rapidly and blindly autofocus a single-shot microscopy image of a specimen that is acquired at an arbitrary out-of-focus plane. Background: Focus is a critical factor when analyzing...

Published: 11/15/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Yilin Luo, Luzhe Huang

Keywords(s): Deep Learning, Fluorescence, Fluorescence Microscope, Image Analysis, Image Processing, Microscopy, Microscopy And Imaging

Category(s): Software & Algorithms > Image Processing, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging > Fluorescence

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