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.