A novel framework for tracking in-vitro cells in time-lapse phase contrast data

Thirusittampalam, Ketheesan, Hossain, M. Julius, Ghita, Ovidiu and Whelan, Paul F. (2010) A novel framework for tracking in-vitro cells in time-lapse phase contrast data. In Proceedings of the British Machine Vision Conference. (doi:10.5244/C.24.69).

Abstract

With the proliferation of modern microscopy imaging technologies the amount of data that has to be analysed by biologists is constantly increasing and as a result the development of automatic approaches that are able to track cellular structures in time-lapse images has become an important field of research. The aim of this paper is to detail the development of a novel tracking framework that is designed to extract the cell motility indicators in phase-contrast image sequences. To address issues that are caused by non-structured (random) motion and cellular agglomeration, cell tracking is formulated as a sequential process where the inter-frame cell association is achieved by assessing the variation in the local structures contained in consecutive frames of the image sequence. We have evaluated the proposed algorithm on dense phase contrast cellular data and the reported results indicate that the developed algorithm is able to accurately track Madin-Darby Canine Kidney (MDCK) Epithelial Cells in image data that is characterised by low contrast and high level of noise.

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Contributors

Author: M. Julius Hossain

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