Abstract
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.
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© 2013 Springer-Verlag Berlin Heidelberg
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Lu, M., Xu, B., Sheng, A., Zhu, P. (2013). Multi-cell Interaction Tracking Algorithm for Colliding and Dividing Cell Dynamic Analysis. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_38
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DOI: https://doi.org/10.1007/978-3-642-38715-9_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38714-2
Online ISBN: 978-3-642-38715-9
eBook Packages: Computer ScienceComputer Science (R0)