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International Journal of Biomedical Imaging
Volume 2006, Article ID 12186, 10 pages

Probabilistic Model-Based Cell Tracking

1Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
2Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1

Received 3 February 2006; Revised 28 April 2006; Accepted 12 May 2006

Copyright © 2006 Nezamoddin N. Kachouie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The 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.