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Automated Cancer Cell Dynamics Monitoring

Pasanun Lhongpradit1, Pranchalee Samanpiboon1, and Samlee Mankhetkorn2
1.Department of Control System and Instrumentation Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
2.Department of Radiologic Technology, Faculty of Associated Medical Sciences Chiang Mai University, Chiang Mai, Thailand
Abstract—This paper presents the application for automated biliary cancer cells (M213) segmentation, tracking and cell dynamics monitoring. This kind of application is very helpful for medical technology researches. The biliary cancer cells (M213) are grown up in specific culture dish to observe cell behavior. Researchers require to investigate the behavior of each monitored cell for finding novel methods in biliary cancer treatment. Hence, this application was developed to support the requirement of medical researchers. In this research, the cell segmentation process is firstly performed. Top-hat and bottom-hat filter technique is applied to reduce undesirable noise and also perform image enhancement. Then, the concavity detection, circle fitting and circle candidate techniques are applied to the cluster of cancer cells for automated cell dynamic monitoring. Finally in tracking process, three features of a cell or a cell cluster: displacement, area and deformation are employed for finding adjacency cost matrix between each cell cluster. Then, standard Hungarian method is applied to perform cell matching along the sequence of images.

Index Terms— biliary cancer cells (M213), tracking, cluster, automated cell dynamics monitoring

Cite: Pasanun Lhongpradit, Pranchalee Samanpiboon, and Samlee Mankhetkorn, "Automated Cancer Cell Dynamics Monitoring," Jounal of Automation and Control Engineering, Vol. 2, No. 4, pp. 397-401, December, 2014. doi: 10.12720/joace.2.4.397-401
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