Abstract
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.
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Dates
Type | When |
---|---|
Created | 19 years ago (Aug. 2, 2006, 3:10 p.m.) |
Deposited | 7 months, 2 weeks ago (Jan. 10, 2025, 4:03 a.m.) |
Indexed | 3 weeks, 5 days ago (July 30, 2025, 9:33 a.m.) |
Issued | 19 years, 7 months ago (Jan. 1, 2006) |
Published | 19 years, 7 months ago (Jan. 1, 2006) |
Published Online | 19 years, 1 month ago (July 2, 2006) |
Published Print | 19 years, 7 months ago (Jan. 1, 2006) |
Funders
1
Natural Sciences and Engineering Research Council of Canada
10.13039/501100000038
Region: Americas
gov (National government)
Labels
3
- Conseil de Recherches en Sciences Naturelles et en Génie du Canada
- NSERC
- CRSNG
@article{Kachouie_2006, title={Probabilistic Model‐Based Cell Tracking}, volume={2006}, ISSN={1687-4196}, url={http://dx.doi.org/10.1155/ijbi/2006/12186}, DOI={10.1155/ijbi/2006/12186}, number={1}, journal={International Journal of Biomedical Imaging}, publisher={Wiley}, author={Kachouie, Nezamoddin N. and Fieguth, Paul and Ramunas, John and Jervis, Eric}, year={2006}, month=jan }