Cell motion analysis contributes to research the mechanism of the inflammatory process and to the development of anti-inflammatory drugs. This paper aims to develop an accurate and robust algorithm to track multiple colliding cells and further characterize the dynamics of each cell. First, a hybrid cell detection algorithm is proposed to obtain reliable measurements in cell collision images. Second, a variant of interacting multiple models particle filter is designed for analysis of cell motion behaviors. The simulation results show that our algorithm could obtain favorable performance compared with other methods. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Lu, M., Xu, B., Sheng, A., & Zhu, P. (2013). Multi-cell interaction tracking algorithm for colliding and dividing cell dynamic analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7929 LNCS, pp. 316–324). Springer Verlag. https://doi.org/10.1007/978-3-642-38715-9_38
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