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Automated Motion Analysis of Adherent Cells in Monolayer Culture

  • Zhen Zhang
  • Matthew Bedder
  • Stephen L. Smith
  • Dawn Walker
  • Saqib Shabir
  • Jennifer Southgate
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9303)

Abstract

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), acquired over a 20 h period. Subsequent analysis, comprising feature extraction, demonstrated the ability of the technique to successfully separate the modulated classes of cell.

Keywords

Interstitial Cystitis Urothelial Cell Distance Image Migration Speed Computer Vision Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Zhen Zhang
    • 1
  • Matthew Bedder
    • 2
  • Stephen L. Smith
    • 1
  • Dawn Walker
    • 3
  • Saqib Shabir
    • 4
  • Jennifer Southgate
    • 4
  1. 1.Department of ElectronicsUniversity of YorkHeslington, YorkUK
  2. 2.Department of Computer ScienceUniversity of YorkHeslington, YorkUK
  3. 3.Department of Computer Science and Insigneo Institute for in Silico MedicineUniversity of SheffieldSheffieldUK
  4. 4.Jack Birch Unit, Department of BiologyUniversity of YorkHeslington, YorkUK

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