A confident scale-space shape representation framework for cell migration detection

K. ZHANG, H. XIONG, X. ZHOU, L. YANG, Y.-L. WANG, S. T. C. WONG
2008 Journal of Microscopy  
Automated segmentation of time-lapse images is a method to facilitate the understanding of the intricate biological progression, e.g., cancer cell migration. To address this problem, we introduce a shape representation enhancement over popular snake models in the context of confident scalespace such that a higher level of interpretation can hopefully be achieved. Our proposed system consists of a hierarchical analytic framework including feedback loops, self-adaptive and demandadaptive
more » ... t, incorporating a steerable boundary detail term constraint based on multiscale B-spline interpolation. To minimize the noise interference inherited from microscopy acquisition, the coarse boundary derived from the initial segmentation with refined watershed line is coupled with microscopy compensation using the mean shift filtering. A progressive approximation is applied to achieve represented as a balance between a relief function of watershed algorithm and local minima concerning multi-scale optimality, convergence, and robust constraints. Experimental results show that the proposed method overcomes problems with spurious branches, arbitrary gaps, low contrast boundaries and low signal-to-noise ratio. The proposed system has the potential to serve as an automated data processing tool for cell migration applications.
doi:10.1111/j.1365-2818.2008.02050.x pmid:18754994 pmcid:PMC2896032 fatcat:fyqf6wktyzgvnl3axtazxwo5t4