- author = "Zhen Zhang",
- title = "The application of evolutionary computation towards the characterization and classification of urothelium cell cultures",
- school = "Electronic Engineering, York University",
- year = "2018",
- address = "UK",
- month = sep,
- keywords = "genetic algorithms, genetic programming, Cartesian Genetic Program",
-
URL = "
https://etheses.whiterose.ac.uk/26924/",
-
URL = "
https://etheses.whiterose.ac.uk/26924/1/Examined%20Thesis.pdf",
- size = "151 pages",
- abstract = "We present a novel method for classifying and characterising urothelial cell cultures. A system of cell tracking employing computer vision techniques was appliedto a one day long time-lapse videos of replicate normal humanuroepithelial cell cultures exposed to different concentrationsof adenosine triphosphate (ATP) and a selective purinergicP2X antagonist (PPADS) as inhibitor. Subsequent analysisfollowing feature extraction on both cell culture and single-celldemonstrated the ability of the approach to successfullyclassify the modulated classes of cells using evolutionaryalgorithms. Specifically, a Cartesian Genetic Program (CGP)network was evolved that identified average migration speed,in-contact angular velocity, cohesivity and average cell clumpsize as the principal features contributing to the cell classseparation. This approach provides a non-biased insight intomodulated cell class behaviours.",
-
notes = "uk.bl.ethos.811376
supervisor: Stephen Smith",
