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has been cited by the following article:

• TITLE: Cell Segmentation and Tracking in Microfluidic Platform

  AUTHORS: Lipan Ouyang, Jiandong Wu, Michael Zhang, Francis Lin, Simon Liao

  KEYWORDS: Microfluidic Device; Image Segmentation; Data Association; Active Contour Model; Cell Tracking

  JOURNAL NAME: Engineering, Vol.5 No.10B, October 31, 2013

  ABSTRACT: In this research, we have concentrated on trajectory extraction based on image segmentation and data association in order to provide an economic and complete solution for rapid microfluidic cell migration experiments. We applied region scalable active contour model to segment the individual cells and then employed the ellipse fitting technique to process touching cells. Subsequently, we have also introduced a topology based technique to associate the cells between consecutive frames. This scheme achieves satisfactory segmentation and tracking results on the datasets acquired by our microfluidic platform.