Cell Segmentation and Tracking in Microfluidic Platform

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

Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada.
Department of Biosystems Engineering, University of Manitoba, Winnipeg, Canada.
Winnipeg Regional Health Authority, Winnipeg, Canada.

DOI: 10.4236/eng.2013.510B047                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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