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dc.contributor.authorNezamoddini-Kachouie, Nezamoddin
dc.contributor.authorFieguth, Paul
dc.contributor.authorRamunas, John
dc.contributor.authorJervis, Eric
dc.date.accessioned2014-12-02T18:59:57Z
dc.date.available2014-12-02T18:59:57Z
dc.date.issued2006
dc.identifier.citationFieguth, P., Jervis, E., Kachouie, N.N., & Ramunas, J. (2006) Probabilistic model-based cell tracking. International Journal of Biomedical Imaging, 2006.en_US
dc.identifier.urihttp://hdl.handle.net/11141/453
dc.description.abstractThe study of cell behavior is of crucial importance in drug and disease research. The fields of bioinformatics and biotechnology rely on the collection, processing, and analysis of huge numbers of biocellular images, including cell features such as cell size, shape, and motility. However manual methods of inferring these values are so onerous that automated methods of cell tracking and segmentation are in high demand. In this paper, a novel model-based cell tracker is designed to locate and track individual cells. The proposed cell tracker has been successfully applied to track hematopoietic stem cells (HSCs) based on identified cell locations and probabilistic data association.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is available in accordance with the publisher's policy. It may be subject to U.S. Copyright Law.en_US
dc.rights.urihttp://www.hindawi.com/journals/oaen_US
dc.titleProbabilistic Model-Based Cell Trackingen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/IJBI/2006/12186


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