Abstract
Multi-cell tracking is an important problem in studies of dynamic cell cycle behaviors. This paper models a novel multi-tasking ant system that jointly estimates the number of cells and their individual states in cell image sequences. Our ant system adopts an interactive mode with cooperation and competition. In simulations of real cell image sequences, the multi-tasking ant system integrated with interactive mode yielded better tracking results . Furthermore, the results suggest that our algorithm can automatically and accurately track numerous cells in various scenarios, and is competitive with state-of-the-art multi-cell tracking methods.
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Lu, M., Xu, B., Zhu, P., Shi, J. (2014). A Novel Ant System with Multiple Tasks for Spatially Adjacent Cell State Estimate. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_29
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DOI: https://doi.org/10.1007/978-3-319-11897-0_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11896-3
Online ISBN: 978-3-319-11897-0
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