Anti-Puromycin Antibodies Illuminate the World of Cellular Protein Translation

The Ribopuromycylation (RPM) technology, developed by Dr. Jon Yewdell and Dr. Alexandre David, offers a powerful and universal method for visualizing and studying protein translation within cells. RPM involves the use of puromycin, a molecule that mimics a tyrosyl-tRNA and terminates translation by becoming covalently incorporated into the nascent protein chain's C-terminus within the ribosome's A site. This technique enables the immobilization of puromycylated nascent protein chains on ribosomes when chain elongation inhibitors like cycloheximide or emetine are utilized.

System for Automated Anatomical Structures Segmentation of Contrast-Enhanced Cardiac Computed Tomography Images

This technology includes a fully automatic 3D image processing system to segment the heart as well as other organs from contrast-enhanced cardiac computed tomography (CCT) images. Our method detects four cardiac chambers including left ventricle, right ventricle, left atrium, right atrium, as well as the ascending aorta and left ventricular myocardium. It also classifies noncardiac tissue structures in the CCT images such as lung, chest wall, spine, descending aorta, and liver.

General-purpose Deep Learning Image Denoising Based on Magnetic Resonance Imaging Physics

This technology includes a novel method to train deep learning convolution neural network model to improve the signal-noise-ratio for the magnetic resonance (MR) imaging. The novelty lies on the fact that actual MR imaging physics information is used in the deep learning training. The resulting model achieves significant signal-to-noise ratio (SNR) improved for different acceleration factors in MR imaging. The resulting model can be used for many body anatomies (e.g., brain, heart, liver, spine, etc.) to significantly improve the SNR.

Intralipid as a Contrast Agent to Enhance Subsurface Blood Flow Imaging

This technology includes a blood flow imaging method that allows for a higher density of smaller particles to be detected. Current imaging methods that are based on Doppler measurements are limited by the discontinuity in the capillary flow in the space between red blood cells. The core technology is to use a scattering agent to enhance capillary flow or microcirculation. This technology has been tested for optical coherence Doppler tomography, but can be expended to any Doppler based flow imaging techniques such as laser speckle imaging.

High-Resolution and Artifact-Free Measurement and Visualization of Tissue Strain by Processing MRI Using a Deep Learning Approach

This technology includes a system for automatic artifact-free measurement and visualization of tissue strain by MRI at native resolution. The investigation of regional soft tissue mechanical strain can serve as a unique indicator for different related disorders. For example, measurement of myocardial tissue during contraction can help calculate, track, and assess cardiac stress. Currently, methods such as tagging MRI (tMRI) are used for imaging soft tissue deformation. Despite being well validated, methods such as tMRI suffer from low spatial and temporal resolution.

Method for Finding Usable Portion of Sigmoid Curve (the Taylor Method), Improved Assay Readouts, and Enhanced Quality Control/Assurance

CDC researchers have developed algorithmic methods for determining sigmoid curve optimums and calculating component concentrations. Sigmoid curves are commonly generated in bioassays and used to calculate results. Various techniques have been used to define the curve, analyze the observations, and calculate a concentration. This technology is an algorithmic approach to identifying the usable portion of a sigmoid curve.

Real Time Medical Image Processing Using Cloud Computing

The invention pertains to a system for reconstructing images acquired from MR and CT scanners in a robust Gadgetron based cloud computing system. A hardware interface connects clinical imaging instruments (e.g., MR or CT scanners) with a cloud computing environment that includes image data reconstruction and processing software not limited by the computational constraints typical of static hardware with finite processor power.

Non-invasive Pan-Cancer Detection Method

One of four deaths in the United States is due to cancer despite an emphasis on prevention, early detection, and treatment that has lowered cancer death rates by 20% in the past two decades. Further improvements in survival rates are likely to come from improving the limits of detection sensitivity at earlier stages of cancer. New approaches that rely heavily on genomic information, however, may change future testing strategies.

Isotopes of Alpha Ketoglutarate and Related Compounds for Hyperpolarized MRI Imaging

This technology includes 1-13C-ketoglutarate which can be used for imaging the conversion to hydroxyglutarate (HG) or Gln in cancer cells with an IDH1 mutations by hyperpolarized MRI. The ability to detect the status of IDH1 mutations is clinically prognostic for multiple cancers. These exciting observations are limited by two factors, the major one being that the natural abundance of 13C at position C5 overlaps with 1-13C-2-hydroxyglutarate peak, which limits the sensitivity of analysis and prevents simultaneous observations of HG and Gln formation.

Multiview Super-resolution Microscopy System and Methods for Research and Diagnostic Applications

This technology includes a microscopy technique that combines the strengths of multiview imaging (better resolution isotropy, better depth penetration) with resolution-improving structured illumination microscopy (SIM). The proposed microscope uses a sharp line-focused illumination structure to excite and confocally detect sample fluorescence from 3 complementary views.

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