A Current Amplifier for Local Coil Pre-amplification of NMR/MRI Signals

The magnetic resonance imaging (MRI) systems are used for a variety of imaging application. The present invention discloses an improving MRI device and method by amplifying signals received by resonant NMR coils of MRI systems. It utilizes positive feedback from low-noise Field-Effect Transistor to amplify the signal current that can be coupled out to receiving loops positioned externally without loss in sensitivity. Therefore, the NMR coil can be flexibly positioned near internal tissues and used to develop high-resolution images in highly invasive situations.

Autodock Vina Software Process for Efficient Large-Scale Cognate Ligand Screening

The invention pertains to software processes, additions, and docking approaches to Autodock Vina that speeds the rate and efficiency of analyzing ligand interactions with a receptor by cognate ligands and rewards conformations in the scoring algorithm for residue interactions that are based on the biological data. The score is multiplied by a weighting factor to control the degree of ligand-residue interactions that are considered. This multiplier is then added to the docking score for confirmation.

Microscopy System for Distinguishing Stimulated Emissions as a Means of Increasing Signal

The invention pertains to a system and method for distinguishing stimulated emissions as a means of enhancing signal strength of fluorescent markers in fluorescence microscopy applications. The system is arranged such that an excitation beam (e.g., laser beam) illuminates a sample along some axis exciting the fluorescent markers used in the sample. A second light beam, a stimulation beam, illuminates the sample along another axis, possibly the same as that of the excitation beam.

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.

Isotropic Generalized Diffusion Tensor MRI

Scientists at the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) have developed a method implemented as pulse sequences and software to be used with magnetic resonance imaging (MRI) scanners and systems. This technology is available for licensing and commercial development. The method allows for measuring and mapping features of the bulk or average apparent diffusion coefficient (ADC) of water in tissue – aiding in stroke diagnosis and cancer therapy assessment.

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.

A Mood-Machine-Interface as an Intervention for Emotional Self-Regulation in Real-Time

This technology relates to a closed-loop controller that is being developed as a phone app for emotional self-regulation in real-time. There is a significant association between emotion dysregulation and symptoms of depression, anxiety, eating pathology, and substance abuse, affecting millions worldwide. Consisting of a closed-loop controller that adjusts reward values in real-time according to individual mood response, the Mood Machine Interface technology compensates for adaptation to stimuli over time allowing it to generate substantial mood changes in the user.

Real-time Cellular Thermal Shift Assay and Analysis (RT-CETSA) for Research and Drug Discovery

Scientists at NCATS have developed a novel Cellular Thermal Shift Assay (CETSA), named “Real-time CETSA” in which temperature-induced aggregation of proteins can be monitored in cells in real time across a range of compound concentrations and simultaneously across a temperature gradient in a high-throughput manner. Real-time CETSA streamlines the thermal shift assay and allows investigators to capture full aggregation profiles for every sample.

The NCGC BioPlanet: A Computational Algorithm to Display Networks in Three Dimensions

This technology includes a novel computational algorithm and software implementation to map and display biological pathways and their relationship on the surface of a globe in a three-dimensional space. Currently, biological pathways and genes are represented as two-dimensional networks, which is not effective for displaying complicated relationships between pathways and genes.

Cyclopentane-modified FIT-PNAs as Highly Emissive and Selective RNA/DNA Sensors for Use in Clinical Diagnostics

This technology includes Cyclopentane-modified Peptide Nucleic Acids (cp-PNAs) which can be combined with (forced-intercalation) FIT-PNAs to create highly sensitive probes that detect the presence of complementary RNA sequences. We have studied the beneficial effects of incorporating cyclopentane groups into the backbone of PNAs, which leads to proper preorganization of the PNA backbone into the conformations needed to bind complementary RNA sequences. The cp-PNAs typically have improved thermodynamic stability for binding to complementary nucleic acids compared to unmodified PNAs.