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Search Results - computational+imaging
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Squeezed Light Field Microscopy (SLIM) (Case No. 2024-153)
Summary: UCLA researchers in the Department of Bioengineering have developed a
computational imaging
method that enables detection of 3D light signals using only a single camera sensor area for optimized surgical visualization. Background: Surgical procedures necessitate high precision imaging, especially when targeting specific anatomical structures....
Published: 11/6/2024
|
Inventor(s):
Liang Gao
,
Zhaoqiang Wang
,
Ruixuan Zhao
Keywords(s):
3D tissue imaging
,
computational imaging
,
image-guided surgery
,
Imaging
,
Microscopy
,
Microscopy And Imaging
,
Neuroimaging
Category(s):
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices > Medical Imaging > Fluorescence
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...
Published: 4/5/2024
|
Inventor(s):
Aydogan Ozcan
,
MD Sadman Rahman
,
Xilin Yang
Keywords(s):
Adaptive Optics
,
Algorithm Optical Coherence Tomography
,
all-optical diffractive computing
,
all-optical transformation
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
Atomic Force Microscopy Optical Tweezers
,
computational imaging
,
deep diffractive network
,
Deep Learning
,
Deep learning-based sensing
,
diffractive processor
,
Dispersion (Optics)
,
Electron Microscope
,
Electro-Optics
,
fluorescence microscopy
,
Focus (Optics)
,
Infrared Electromagnetic Spectrum Dispersion (Optics)
,
interference processor
,
large language model (LLNMs)
,
linear optics
,
linear transformations
,
Machine Learning
,
Microscope
,
Microscopy
,
Microscopy And Imaging
,
Near-Field Scanning Optical Microscope
,
neural networks
,
Nonlinear Optics
,
non-linear optics
,
Optical Coherence
,
Optical Communication
,
Optical computing
,
Optical Fiber Copper Wire And Cable
,
optical implementation
,
Optical Microscope
,
Optical networks
,
optical processor
,
optical transmission
,
Optics Parabolic Reflector Curved Mirror
,
phase-only diffractive network
,
reverse engineered optical system
,
Software
,
Software & Algorithms
,
Software Development Tools
,
spatially-incoherent light
,
start to end optics design
,
Surgical Instrument Optical Coherence Tomography
,
three dimensional imaging
,
visual computing
,
Waferscale Processors
Category(s):
Optics & Photonics
,
Optics & Photonics > Microscopy
,
Platforms
,
Software & Algorithms > Image Processing
,
Electrical
,
Electrical > Signal Processing
,
Electrical > Computing Hardware
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
2023-131 A Method for Video Motion Detection, Segmentation, and Compression
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a new computationally efficient algorithm that detects and tracks motion in videos. Background: Computer vision and video processing have many applications in visual security and surveillance such as people counting, action recognition, anomaly detection,...
Published: 11/15/2024
|
Inventor(s):
Bahram Jalali
,
Yiming Zhou
,
Callen MacPhee
Keywords(s):
Autonomous driving
,
computational imaging
,
Computer Monitor
,
Computer Security
,
Computer Vision
,
computer vision algorithm
,
Computer-Aided Design
,
data Compression
,
Data Recovery
,
Energy Security
,
event detection
,
Human tracking
,
Image Analysis
,
image and video enhancement
,
Image Processing
,
image restoration
,
Liquid tracking
,
Metal process monitoring
,
motion detection
,
object recognition
,
real-time sensing/monitoring/tracking
,
security
,
Security and defense
,
security imaging
,
Structural health monitoring
,
Vibration monitoring
,
Vibration sensing
,
video pre-processing
,
video processing
,
visual security and surveillance
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Security & Privacy
,
Software & Algorithms > Programs