Use of Detector Response Curves to Optimize Settings for Mass Spectrometry

This CDC developed optimization technology allows one to characterize the behavior of the coefficient of variation (CV) for a range of mass spectrometer machine settings. Surface-enhanced laser desorption/ionization (SELDI) and matrix-assisted laser desorption/ionization (MALDI) are used for the early detection of numerous diseases, for example cervical cancer . A critical step in the analytical process is the optimization of experiment and machine settings to ensure the best possible reproducibility of results, as measured by the CV.

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.

Simple, Rapid, and Sensitive Real-Time PCR Assays for Detecting Drug Resistance of HIV

This novel assay features real-time PCR reagents and methods for detecting drug-resistance related mutations in HIV, for newly diagnosed patients and those individuals currently receiving antiretroviral therapies. As the use of antiretroviral compounds to treat HIV infection proliferates, viruses adapt and evolve mutations limiting the efficacy of these drugs and disrupting the success of treatment.

Personalized Cancer Evaluation (PERCEVAL) Method and Software

Cancer represents the leading cause of morbidity and mortality worldwide, with approximately 14 million new cases and 8.2 million cancer related deaths in 2012. This number is predicted to rise by approximately 70% over the next two decades according to the World Health Organization. Prognosis depends heavily on both early detection and frequent monitoring of the patient's response to treatment. Cancerous tumors shed nucleic acids into blood, which can be detected by ultra-deep sequencing of mitochondrial DNA (mtDNA).

Sensitive Method for Detection and Quantification of Anthrax, Bordetella pertussis, Clostridium difficile, Clostridium botulinum and Other Pathogen-Derived Toxins in Human and Animal Plasma

CDC research scientists have developed a method to identify and quantify the activity of pathogenic bacterial adenylate cyclase toxins by liquid chromatography tandem mass spectrometry (LC-MS/MS). Bacterial protein toxins are among the most potent natural poisons known, causing paralysis, immune system collapse, hemorrhaging and death in some cases.

An Automated System for Myocardial Perfusion Mapping and Machine Diagnosis to Detect Ischemic Heart Disease with First-pass Perfusion Cardiac Magnetic Resonance Imaging

This technology includes a fully automated computer aided diagnosis system to quantify myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) pixel maps from the first-pass contrast-enhanced cardiac magnetic resonance (CMR) perfusion images. This system performs automated image registration, motion compensation, segmentation, and modeling to extract quantitative features from different myocardial regions of interest.

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.

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