Learn more about UC TechAlerts – Subscribe to categories and get notified of new UC technologies

Browse Category: Medical > Imaging


[Search within category]

Method for Early Detection of Edema and Intercranial Pressure

Researchers at UCR have developed a process that uses optical coherence tomography (OCT) on specific regions of the cranium to detect the onset of edema before severe damage can be done to the brain.  By scanning various regions of the brain with OCT, the early stages of cerebral edema may be visualized at a far earlier time point than otherwise possible.  The scattering pattern of reflected light changes in a predictable manner when brain water content increases.  This allows for a quick and accurate determination of a patient’s risk for developing dangerous ICP levels, thus eliminating the need for a invasive precautionary craniectomy. Fig. 1: diagram of the OCT apparatus being used to measure edema in a mouse brain Fig. 2: table demonstrating the time between OCT detection of artificially induced edema and onset of increased ICP  

Lensfree Tomographic Imaging

UCLA researchers in the Department of Electrical Engineering have developed a system for lens-free tomographic imaging.

Method for Removing Breathing Motion Artifacts in CT

UCLA researchers have developed a novel scanning and analysis method to remove breathing motion artifacts in CT scans by integrating motion modeling to the image reconstruction process.

Cloud based platform for display and analysis of image time series

Current microscopy systems commonly used in biomedical research labs and companies generate large amounts of large data, known as image stacks. There is currently no easy, streamlined way to store, organize and analyze these datasets on a cloud. Researchers at UCI have developed a software consisting of a cloud-based data management and analysis platform that make visualization and analysis of large image stacks simpler and faster.

Technique for Respiratory Gated Radiotherapy using Low Frame Rate MRI and a Breathing Motion Model

UCLA researchers in the Department of Radiation Oncology have developed a novel method to gate radiotherapy using low frame rate MRI sequences to reduce damage to adjacent tissues during radiotherapy.

An Osteoadsorptive Fluorogenic Substrate of Cathepsin K for Imaging Osteoclast Activity and Migration

UCLA researchers in the Department of Dentistry have developed a novel fluorescent probe for studying the role of osteoclasts in bone diseases and for detecting the early onset of bone resorption by targeting an important protein Cathepsin K. This probe can also deliver drug molecules to bone resorption sites with high specificity.

Frequency Doubled Pulsed Swept Laser

UCLA researchers in the Department of Electrical Engineering have invented a swept source laser that operates in the visible light range with a broad sweeping bandwidth.

Probability Map of Biopsy Site

UCLA researchers in the Department of Radiological Science have developed a technique for generating a probability map on an MRI that indicates the certainty of tissue sampling from a location, which could improve imaging-guided biopsies and their correlation with pathology.

A Method for Obtaining Depth of Interaction in Pixelated Scintillator Detectors

UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a method to increase the spatial resolution for PET-based imaging.

Nondestructive System for Quantitative Evaluation of Cartilage Degradation and Regeneration

Researchers at the University of California, Davis, have developed a minimally invasive fluorescence based imaging system for the quantitative detection of cartilage health.

Simple All-in-One UV Waveguide Microscope with Illumination Sectioning for Surface Morphology and Fluorescence Imaging

Researchers at the University of California, Davis have developed an all-in-one microscope combining ultraviolet excitation light with a waveguide directly integrated onto a light microscope stage, capable of providing surface morphology and fluorescence information with minimal sample preparation.

Convex Optimized Diffusion Encoding (CODE) For Motion Compensated Diffusion Weighted Magnetic Resonance Imaging With Shortened Echo Times

UCLA researchers in the Department of Radiological Sciences have developed a novel method for diffusion weighted MRI that minimizes echo times and/or incorporates bulk motion compensation through application of a convex optimized diffusion encoding (CODE).

High Frequency Digital Frequency Domain Fluorescence Lifetime Imaging System For Applications On Tissues

The technology is a software/hardware combination designed to enhance sampling rate for frequency domain fluorescence lifetime imaging. Fluorescence lifetime imaging microscopy (FLIM) is a technique that uses signals emitted from fluorescent samples to construct images of those samples in near real time. An advantage to FLIM is its ability to image large fields of view, which makes it an attractive option for dynamical measurements of live biological tissues. The higher sampling rate available using this technology will allow for more information to be gleaned from biological samples, which may have a fluorescence band up to 1 GHz, advancing tissue imaging.

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.

Multi-Layer Electro-Textile MRI RF Coil Array

UCLA Researchers in the Department of Electrical Engineering have developed RF coils for MRI imaging made from ergonomic electro-textile materials.

Global Training Of Neural Networks For Phenomic Classification

UCLA researchers in the Department of Electrical Engineering have developed a high-throughput, label-free cell classification method based on time-stretch quantitative phase imaging.

Bioorthogonally-Engineered Extracellular Vesicles for Applications in Detection and Therapeutic Delivery

Extracellular vesicles (EVs) are promising as drug delivery carriers because they are inherently biocompatible, It would be desirable to efficiently, specifically, and rapidly change the EVs surface presentation to program the interactions with its target cells. Inventors at UC Irvine have developed a strategy for functionalizing the cellular membranes of EVs with precision and ease.

A Combined Microfluidic and Fluorescence Lifetime Imaging(FLIM) Platform to Identify Mammalian Circulating Cancer Cells in Whole Blood

Separating and classifying circulating cancer cells from whole blood using a single cell trap microfluidic platform coupled with label free fluorescence life time imaging.

Transparent Bulk Photoluminescent Quantum Dots/Polymer Nanocomposite

UCLA researchers in the Department of Materials Science and Engineering have developed highly transparent, photoluminescent nanocomposites containing record-high levels of quantum dots.

Epigenetic Target for HIV and Latent Virus Eradication

Researchers at the University of California, Davis, have identified a target for therapeutic intervention and agents that disrupt HIV latency in patients under suppressive HIV therapy. It amplifies the effects of other latency reversal agents and primes the cells harboring the virus for immune clearance and death.

Novel Methodology To Convert Magnetic Resonance Imaging Scan Data To Be Used In Proton Beam Therapy

This invention is a novel model that uses magnetic resonance imaging (MRI) information to more accurately determine the irradiation area using proton beam therapy (PBT) for oncological treatment.

Active Nanoplatform with High Drug Loading Capacity for the Diagnosis and Treatment of Cancer

Researchers at the University of California, Davis have developed an active nanoplatform (F/HAPIN) for cancer diagnosis and therapy.

Deep Learning Microscopy

UCLA researchers in the Department of Electrical Engineering have developed a novel microscopy analysis that improves resolution, field-of-view and depth-of-field in optical microscopy images.

Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning

UCLA researchers have developed a novel method for computational sensing using low-cost and mobile plasmonic readers designed by machine learning.

Computational Out-Of-Focus Imaging Increases The Space-Bandwidth Product In Lens-Based Coherent Microscopy

UCLA researchers in the Department of Electrical Engineering have developed a wide-field and high-resolution coherent imaging method that uses a stack of out-of-focus images to provide much better utilization of the space-bandwidth product (SBP) of an objective-lens.

  • Go to Page: