Ketheesan Thirusittampalam

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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(More)
The quantitative analysis of live cellular structures in time-lapse image sequences is a key issue in evaluating biological processes such as cellular motility and proliferation. The current clinical practice involves a manual tracking procedure, but with the arrival of modern image acquisition modalities, the amount of data required to be analysed by(More)
The aim of this paper is to detail the development of a novel tracking framework that is able to extract the cell motility indicators and to determine the cellular division (mitosis) events in large time-lapse phase-contrast image sequences. To address the challenges induced by nonstructured (random) motion, cellular agglomeration, and cellular mitosis, the(More)
— The quantitative analysis of cellular migration has found many clinical applications as it can be used in the study of a large spectrum of biological processes such as tumor development and wound healing. These studies are commonly conducted on datasets that consists of a large number of time-lapse images, a fact that rendered the application of human(More)
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