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Computational Science in Biological Metrology (CS in Bio Metrology) project is about Computational Science and Biology Delivering Measurements with Statistical Significance and Repeatability. The goal of the project is to ensure quality in biomedical research and clinical applications by evolving biology into a quantitative and information science. These activities will support applications such as: biomanufacturing, drug discovery, basic bio-medical research, medical intervention, diagnostics, and regenerative medicine.
With the increasing reliance of system biology researchers on microscopy imaging and the growing volumes of images generated during each experiment, there is a need to intertwine computational science and biological metrology. The motivation lies not only in saving human labor and time needed to achieve a biological discovery but also in understanding the accuracy and uncertainty introduced by computational steps of a discovery process. The overall objective is to ensure quality of outcomes obtained from collaborative research using microscopy imaging, and scalability of data-driven biological discovery with the increasing data volumes. This objective has to be achieved by bringing together multi-disciplinary expertise working on:
The following are key activities being addressed in this work(link to activity pages):
Lead Organizational Unit:itl
Carole Parent, NIH, NCI
Christina Stuelten, NIH, NCI
Michael Weiger, NIH, NCI
Wolfgang Losert, University of Maryland at College Park
Marcin Kociolek, Medical Electronics Division, Technical University of Lodz Poland
Anne Plant, Biosystems and Biomaterials Division
TN. Bhat, Cell Systems Science Group
John Elliott, Cell Systems Science Group
Michael Halter, Cell Systems Science Group
Subhash Sista, Cell Systems Science Group
Mary Brady, Information Systems Group