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Optical Microscope Software for Breast Cancer Diagnosis

Researchers from NCI and Rudgers University developed  methods of detecting abnormal cells in a sample using the spatial position of one or more genes within the nucleus of a cell, as well as a kit for detecting abnormal cells using such methods. The invention also provides methods of identifying gene markers for abnormal cells using the spatial position of one or more genes within the nucleus of a cell. The National Cancer Institute seeks parties interested in collaborative research to co-develop diagnostic methods for detection of cancer using spatial genome organization.

3D Image Rendering Software for Biological Tissues

The Frederick National Laboratory for Cancer Research seeks parties interested in collaborative research to co-develop software for the automatic 3-D visualization of biological image volumes.

Software for Automated Generation of Density Maps

Available for licensing is computer software for the automated generation of density maps of macromolecular structures from a series of 2D digital micrographs of frozen hydrated specimens collected using an electron microscope equipped with an ultra-cooled computerized stage.

Biomarker Analysis Software for High-Throughput Diagnostic Multiplex Data

Extracellular vesicles (EVs) are lipid spheres released from cells. EVs contain proteins that can serve as diagnostic biomarkers indicating the cell state at time of release. Improved detection and phenotyping of EVs and their protein cargo could lead to better cancer diagnostic and prognostic tests, as well as improved therapeutic uses. The National Cancer Institute (NCI) seeks research co-development partners and/or licensees for a software package that performs high-throughput multi-dimensional analysis of EV biomarkers.

Mitotic Figures Electronic Counting Application for Surgical Pathology

National Cancer Institute (NCI) researchers have developed a novel software tool for uniform recording of Mitotic Figure (MF) counts via conventional and/or digital microscopy. With this technology, diagnostic centers can standardize electronic recording, summation, and transcription of clinical data during surgical pathology examination. NCI seeks licensing partners to further develop this application for use in diagnosis and detection of malignant cancers.

Video Monitoring and Analysis System for Vivarium Cage Racks

This invention pertains to a system for continuous observation of rodents in home-cage environments with the specific aim to facilitate the quantification of activity levels and behavioral patterns for mice housed in a commercial ventilated cage rack.  The National Cancer Institute’s Radiation Biology Branch seeks partners interested in collaborative research to co-develop a video monitoring system for laboratory animals.

Denoising of Dynamic Magnetic Resonance Spectroscopic Imaging Using Low Rank Approximations in the Kinetic Domain

Scientists at The National Cancer Institute (NCI) and The National Institute of Neurological Disorders and Stroke (NINDS) have invented a method of imaging glucose metabolism in vivo using MRI chemical shift imaging (CSI) experiments that relies on a simple, but robust and efficient, post-processing procedure by the higher dimensional analog of singular value decomposition, tensor decomposition. This new technology is denoising software for MRIs that significantly improves the measurement of low-intensity signals without the need for dynamic nuclear polarization (DNP). The scientists seek research co-development partners and/or licensees for their invention.

Automated Cancer Diagnostic Tool of Detecting, Quantifying and Mapping Mitotically-Active Proliferative Cells in Tumor Tissue Histopathology Whole-Slide Images

The National Cancer Institute (NCI) seeks research, co-development, or licensing partners for software that uses computational approaches in cancer diagnosis. NCI researchers have recently developed a computational approach for detecting, quantifying, and mapping Mitotic Hotspots in whole slide images of tumor tissue. This technology has demonstrated high reproducibility that is unaffected by diagnostic skill or fatigue, allowing standardization of tumor cell proliferation assessment across institutions.