Abstract
This paper presents a novel method for tracking and characterizing adherent cells in monolayer culture. A system of cell tracking employing computer vision techniques was applied to time-lapse videos of replicate normal human uroepithelial cell cultures exposed to different concentrations of adenosine triphosphate (ATP), acquired over a 20 h period. Subsequent analysis, comprising feature extraction, demonstrated the ability of the technique to successfully separate the modulated classes of cell.
Cite
CITATION STYLE
Zhang, Z., Bedder, M., Smith, S. L., Walker, D., Shabir, S., & Southgate, J. (2015). Automated motion analysis of adherent cells in Monolayer culture. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9303, pp. 185–194). Springer Verlag. https://doi.org/10.1007/978-3-319-23108-2_16
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