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New Insect Sf9-ET Cell Line for Determining Baculovirus Titers

The National Cancer Institute (NCI) seeks licensing partners for a novel modified insect cell line, Sf9-ET, that can quickly and efficiently determine baculovirus titers during the expression of recombinant proteins from a baculovirus-based protein expression system.

The Biospecimen Pre-analytical Variables (BPV) Program

The Biorepositories and Biospecimen Research Branch (BBRB) at the National Cancer Institute (NCI) has sponsored various initiatives for conducting biospecimen research. Through these initiatives, NCI seeks to advance biospecimen science and improve research reproducibility by investigating how different biospecimen collection, handling and processing procedures affect biospecimen molecular profiles. BBRB is seeking collaborators to extend these studies.

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.

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.

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.

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