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A Method For Digital Pathology Using Augmented Reality

UCLA researchers in the Departments of Electrical Engineering and Computer Engineering have developed a novel method for automated image analysis of digital pathology slides.

Development of Novel Fluorescent Puromycin Derivatives

Puromycin is an aminonucleoside antibiotic produced by the bacterium Streptomyces alboniger. Its mode of action is to inhibit protein synthesis by disrupting peptide transfer on ribosomes, leading to premature chain termination during protein translation. Puromycin blocks protein synthesis in both eukaryotes and prokaryotes and is routinely used as a research tool in cell culture. The native Puromycin is also used assays such as mRNA display. As such, derivatives have been synthesized in which the amino acid of the 3' end of adenosine based antibiotics is altered to change the compound's antibiotic activity. Other compounds have been synthesized with differing amino acids and functionalities to examine the effect it has on bacterial viability. The majority do not show useful absorption or emission profiles. What is needed is a method to track the compounds in biological systems.

Use of a Radiation Detector that Combines Virtual Frisch Grid and Cerenkov Readouts

Researchers at the University of California, Davis have developed a radiation detector for high energy photons that employs a transparent semiconductor with a high index of refraction to combine benefits of Virtual Frisch Grid devices and the readout of Cerenkov light.

Breathing Motion Artifact Reduction In CT

UCLA researchers have developed a novel scanning and analysis method for breathing motion-correlated CT that can provide breathing motion-artifacts free images for subsequent use in biomechanical modeling for COPD diagnosis and radiation therapy treatment planning.

New Method for the Detection of Vulnerable Plaques in Coronary Artery Atherosclerotic Disease (CAD)

Heart disease is a major leading cause of morbidity and mortality in the U.S. largely due to coronary artery atherosclerotic disease (CAD), which affects millions and costs billions annually. The concept of plaque vulnerability, based on likelihood of fibroatheroma rupture, has prompted many pursuits to identify high risk lesions, costing $150 million per year. However, identifying vulnerable plaques based on structure, via coronary angiograms or CT/MRI scans, has not translated to improved clinical outcome. Thus, the failure to identify and predict plaques at high risk of rupture, which may lead to myocardial infarction, heart failure and/or sudden cardiac death, is likely because structure may not optimally discern plaque vulnerability. Molecular imaging, in contrast, offers an innovative approach for discriminating the vulnerable plaque in that it not only visualizes structure, but also interrogates underlying molecular function. Based on the current methods to detect plaques, there is a need for a better method for measuring plaque rupture vulnerability.

Intravascular Ultrasound-guided Electrochemical Impedance Spectroscopy (IVUS-EIS) to Assess Lipid-Laden Plaques

UCLA researchers in the Department of Medicine have developed a novel intravascular ultrasound-guided electrochemical impedance spectroscopy (IVUS-EIS) system for the detection of oxLDL-laden plaques in arteries.

Virtual Reality Visualization Of Dynamic Images Using Deformable Image Segmentation

Researchers led by Tzung Hsiai from the David Geffen School of Medicine at UCLA have developed a way to visualize moving objects using virtual reality.

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.

A New Human-Monitor Interface For Interpreting Clinical Images

UCLA researchers in the Department of Radiological Sciences have invented a novel interactive tool that can rapidly focus and zoom on a large number of images using eye tracking technology.

Automated Phantom Image Assessment for Medical Imaging Applications

UCLA researchers in the Department of Radiology have developed a method for automated calibration of phantom images.

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.

Real-Time Tomosynthesis For Radiation Therapy Guidance

UCLA researchers in the Department of Radiological Sciences and Department of Radiation Oncology have developed a real-time tomosynthesis design that can produce sufficient contrast to guide radiation therapy of small lung tumors.

A Method For Accurate Parametric Mapping Based On Characterization Of A Reference Tissue Or Region

UCLA researchers in the Department of Radiology have developed a novel method that addresses a common issue of MRI imaging misinterpretation due to the high field effects of B1+ inhomogeneity.

Dicom/Pacs Compression Techniques

Researchers led by Xiao Hu from the Department of Surgery at UCLA have created a novel and convenient way to compress and query medical images from a PACS system.

Deep-Learning-Based Computerized Prostate Cancer Classification Using A Hierarchical Classification Framework

UCLA researchers in the Department of Radiological Sciences have developed a deep-learning-based computerized algorithm for classification of prostate cancer using multi-parametric-MRI images.

Nanoparticles and Imaging Methods for MRI-Guided Stimuli-Responsive Theranostics

UCLA researchers from the Department of Medicine have developed novel nanoparticle and imaging methods for the MRI-guided targeted delivery of therapeutic agents.

Scanning Terahertz Nanoscopy Probe

UCLA researchers in the Department of Electrical Engineering have developed a Scanning Terahertz Nanoscopy (STN) system with significantly improved detection sensitivity and spatial resolution.

Equally Sloped (Pseudopolar) Tomography With Applications To Biological And Medical Imaging

UCLA researchers in the Department of Physics and Astronomy and the California NanoSystems Institute have developed a new tomographic imagine technique providing higher spatial resolution at a lower radiation dose.

Glucose-conjugated magnetonanoparticles for visualization and treatment of neoplasms and neurological disorders by MRI

Researchers at the UCLA Semel Institute for Neuroscience and Human Behavior have developed magnetic nanoparticles (MNPs) functionalized with deoxyglucose that can be used as tissue-specific contrast agents for MRI. These novel MNPs can help physicians and researchers to differentiate neoplastic, epileptic, parkinsonian, or Alzheimer tissues from normal tissue based on the metabolic activity of the tissue.

Preparation Of Functionalized Polypeptides, Peptides, And Proteins By Alkylation Of Thioether Groups

UCLA researchers in the Departments of Chemistry, Physics, and Bioengineering, led by Dr. Tim Deming of the Bioengineering Department, have developed new methods for adding different functional groups on polypeptides.  The UCLA researchers have used this method to create a platform to create and modify nanoscale vesicles and hydrogels for use in nanoscale drug delivery particles, injectable drug depots, imaging and detection, industrial biomaterials, and wound management.

Improved Shortwave Infrared Polymethine Dyes

UCLA researchers in the Department of Chemistry and Biochemistry have developed improved bright and non-toxic polymethine dyes that will expand current medical optical imaging capabilities.

A High Throughput Biochemical Fluorometric Method For Measuring HDL Redox Activity

UCLA researchers in the Department of Medicine have developed a method of screening for the functional properties of high-density lipoprotein (HDL) in the blood that may serve as a more accurate risk indicator of cardiovascular disease.

Human-Derived Reporter Gene for Positron Emission Tomography Imaging

UCLA researchers from the Department of Microbiology, Immunology, & Molecular Genetics have developed a novel reporter gene for positron emission tomography imaging of transplanted cells.

A Non-Progressive Sampling Volumetric Modulated Arc Therapy (VMAT) Method

UCLA researchers in the Department of Radiation Oncology have developed a novel direct aperture optimization method for volumetric modulated arc therapy (VMAT) to solve the current arc optimization problem.

3D Population Maps for Noninvasively Identifying Phenotypes and Pathologies in Individual Patients

UCLA researchers in the Department of Radiological Sciences have developed a novel computation system that uses large imaging datasets to aid in clinical diagnosis and prognosis.

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