This paper presents a novel method for tracking and characterizing adherent cells in monolayer culture. A system of cell tracking employing computer vision techniques was applied to time-lapse videos of replicate normal human uro-epithelial cell cultures exposed to different concentrations of adenosine triphosphate (ATP) and a selective purinergic P2X antagonist (PPADS), acquired over a 24 hour period. Subsequent analysis following feature extraction demonstrated the ability of the technique to successfully separate the modulated classes of cell using evolutionary algorithms. Specifically, a Cartesian Genetic Program (CGP) network was evolved that identified average migration speed, in-contact angular velocity, cohesivity and average cell clump size as the principal features contributing to the separation. Our approach not only provides non-biased and parsimonious insight into modulated class behaviors, but can be extracted as mathematical formulae for the parameterization of computational models.
|Number of pages||22|
|Early online date||3 Jun 2016|
|Publication status||Published - Aug 2016|
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Videomicroscopy of normal human urothelial cells in culture and subsequent analysis
Southgate, J. (Owner), Shabir, S. (Creator), Smith, S. L. (Owner) & Zhang, Z. (Creator), University of York, 30 Jun 2016