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Available for commercial development is software that provides automatic visualization of features inside biological image volumes in 3D. The software provides a simple and interactive visualization for the exploration of biological datasets through dataset-specific transfer functions and direct volume rendering. The method employs a K-Means++ clustering algorithm to classify a two-dimensional histogram created from the input volume. The classification process utilizes spatial and data properties from the volume.

The National Cancer Institute’s Protein Expression Laboratory seeks parties to co-develop dual luminescent/fluorescent cancer biomarkers.

In research settings, visualization of  tumors or tumor cells is often done using either bioluminescence or fluorescence.  However, both of these methods have shortcomings: bioluminescence is not sensitive enough to sort individual tumor cells, and fluorescence cannot be used effectively to view internal tumors and is best used with surface tumors.

Molecular imaging is a disease-specific targeting modality that promises much more accurate diagnoses of serious diseases such as cancer and infections. Agents are being continually developed with a view to clinical translation, with several such therapies requiring measurement of very small doses. Currently, there is no way of accurately measuring small amounts of radioactivity used in many pre-clinical tracer studies, as on-the-market commercial dose calibrators measure at too high a dose range, typically at 10-1000 µCi and higher.

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 home-cage in-rack provides daytime and nighttime monitoring with the stability and consistency of a home cage environment.