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Machine Learning-Based Monte Carlo Denoising

Brief description not available

Low-Cost, Multi-Wavelength, Camera System that Incorporates Artificial Intelligence for Precision Positioning

Researchers at the University of California, Davis have developed a system consisting of cameras and multi-wavelength lasers that is capable of precisely locating and inspecting items.

Advanced Imaging By LASER-Trained Algorithms Used To Process Broad-Field Light Photography and Videography

Diagnosing retinal disease, which affects over 200 million people worldwide, requires expensive and complicated analysis of the structure and function of retinal tissue. Recently, UCI developed a training algorithm which, for the first time, is able to assess tissue health from images collected using more common and less expensive optics.

Elastography based on X-Ray Ct and Sound Wave Integration

Researchers at UCI have created an elastography technique, which combines X-ray computed tomography (CT) and sound wave integration.  This adapted elastographic technique avoids the issues faced by ultrasound alone and permits medical imaging of deep tissue and measures the mechanical properties of materials.

Gigahertz Bandwidth Asic For Time-Resolved Frequency Domain Optical Metrology

Inventors from UC Irvine and Beckman Laser Institute have created a low-cost, compact technology for in vivo optical imaging of biological tissues.The technology has the ability to be adapted into a wearable device for bedside imaging in hospitals and clinics.

Neuroscientific Method for Measuring Human Mental State

Many areas of intellectual property law involve subjective judgments regarding confusion or similarity. For example, in trademark or trade dress lawsuits a key factor considered by the court is the degree of visual similarity between the trademark or product designs under consideration. Such similarity judgments are nontrivial, and may be complicated by cognitive factors such as categorization, memory, and reasoning that vary substantially across individuals. Currently, three forms of evidence are widely accepted: visual comparison by litigants, expert witness testimonies, and consumer surveys. All three rely on subjective reports of human responders, whether litigants, expert witnesses, or consumer panels. Consequently, all three forms of evidence potentially share the criticism that they are subject to overt (e.g. conflict of interest) or covert (e.g. inaccuracy of self-report) biases.To address this situation, researchers at UC Berkeley developed a technology that directly measures the mental state of consumers when they attend to visual images of consumer products, without the need for self-report measures such as questionnaires or interviews. In so doing, this approach reduces the potential for biased reporting.  

Ultrasound Based Volumetric Particle Tracking Method

The disclosure relates to method of processing three-dimensional images or volumetric datasets to determine a configuration of a medium or a rate of a change of the medium, wherein the method includes tracking changes of a field related to the medium to obtain a deformation or velocity field in three dimensions. In some cases, the field is a brightness field inherent to the medium or its motion. In other embodiments, the brightness field is from a tracking agent that includes floating particles detectable in the medium during flow of the medium.  

Extended Depth-Of-Field In Holographic Image Reconstruction Using Deep Learning-Based Auto-Focusing And Phase-Recovery

UCLA researchers in the Department of Electrical Engineering have developed a novel deep learning-based algorithm that digitally reconstructs images from holography over an extended depth of field.

Real-time 3D Image Processing Platform for Visualizing Blood Flow Dynamics

Researchers at UCI have developed an image processing platform capable of visualizing 3D blood flow dynamics of the heart in real-time. This technology aims to be a promising tool for looking at areas of the heart that were previously difficult to image and to better understand the dynamics in cardiac dysfunctions.

Low-Cost And Portable Uv Holographic Microscope For High-Contrast Protein Crystal Imaging

UCLA researchers in the Department of Electrical Engineering have developed an on-chip UV holographic imaging microscope that offers a low-cost, portable, and robust technique to image and distinguish protein crystals from salt crystals.

Cross-Modality Deep Learning Brings Bright-Field Microscopy Contrast To Holography

UCLA researchers in the Department of Electrical Engineering have developed a novel deep neural network that generates speckle- and artifact-free high-quality images at different sample depths from a single hologram.  The resulting images are equivalent to bright-field images taken throughout a 3D sample.

Stereo Image Acquisition By Lens Translation

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel single-objective lens stereo imaging setup for endoscopic applications.

Incorporation of Mathematical Constraints in Methods for Dose Reduction and Image Enhancement in Tomography

UCLA researchers have developed an algorithm that enables construction of 3D images from tomographic data through iterative methods with the incorporation of mathematical constraints. This methodology is an improvement over conventional techniques as it allows for radiation dose reduction and improved resolution.

Systems and Methods for Real-Time Remote 3D Radiotherapy Treatment Monitoring

Researchers from the Department of Radiation Oncology at UCLA have developed a novel method that enables 3D patient monitoring during radiation therapy that enables remote patient visualization with high spatial resolution.

Systems and Methods for Real-Time Radiation Therapy Gantry Collision Detection

Researchers in the UCLA Department of Radiation Oncology have developed a novel means to remotely visualize a radiotherapy treatment room in real-time via 3D camera technology.

Spectro-Temporal Lidar

UCLA researchers in the Department of Electrical and Computer Engineering have developed a LIDAR sensor that collects high frame-rate 3D measurements for autonomous vehicle and robotics applications.

In vivo optical biopsy applicator of the vaginal wall for treatment planning, monitoring, and imaging guided therapy

Pelvic floor disorders (PFDs) afflict nearly 25% of all women and carry a host of symptoms that can drastically reduce quality of life. Despite their prevalence, the complex and varied nature of such PFDs make them difficult to diagnose and treat. Researchers at UCI have developed an entirely integrated system that, for the first time, provides real-time monitoring of the vaginal wall tissue during diagnosis and treatment, allowing for more thorough diagnoses and more effective treatment methods.

Vertical Cavity Surface-Emitting Lasers with Continuous Wave Operation

An m-plane VCSEL with an active region that has thick quantum wells and operation in continuous wave.

Single-Pixel Optical Technologies For Instantly Quantifying Multicellular Response Profiles

UCLA researchers in the Department of Mechanical & Aerospace Engineering and the Department of Pathology & Lab Medicine have proposed a new platform technology to actuate and sense force propagation in real-time for large sheets of cells.

Geometrical Characterization of Surfaces from Noisy 3D Fluorescence Microscopy Data

A fully automated algorithm to determine the location and curvatures of an object’s surface from 3D fluorescence images.

Ultrasound-Guided Delivery System For Accurate Positioning - Repositioning Of Transcatheter Heart Valves

Utilizing intravascular ultrasound for accurate placement of transcatheter heart valves to improve surgical outcomes.

Automated Reconstruction Of The Cardiac Chambers From MRI

This is a fast, fully automated method to accurately model a patient’s left heart ventricle via machine learning algorithms.

Imaging Platform Based On Nonlinear Optical Microscopy For Rapid Scanning of Large Areas Of Tissue

Researchers at UCI have developed a nonlinear optical microscopy (NLOM) instrument for the rapid and non-destructive imaging of wide areas and large volumes of biological tissue. Imaging can be performed either ex vivo or in vivo, and with sub-micron resolution at higher scanning speeds than previously possible.

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