title: Automated migration analysis based on cell texture: method & reliability.
abstract: BACKGROUND
  In this paper, we present and validate a way to measure automatically the extent of cell migration based on automated examination of a series of digital photographs. It was designed specifically to identify the impact of Second Hand Smoke (SHS) on endothelial cell migration but has broader applications. The analysis has two stages: (1) preprocessing of image texture, and (2) migration analysis.
  
  
  RESULTS
  The output is a graphic overlay that indicates the front lines of cell migration superimposed on each original image, with automated reporting of the distance traversed vs. time. Expert preference compares to manual placement of leading edge shows complete equivalence of automated vs. manual leading edge definition for cell migration measurement.
  
  
  CONCLUSIONS
  Our method is indistinguishable from careful manual determinations of cell front lines, with the advantages of full automation, objectivity, and speed.
authors.affiliation: Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA. Jianfeng.Qin@Dartmouth.EDU <Jianfeng.Qin@Dartmouth.EDU>
authors.forename: Jianfeng
authors.initials: J
authors.lastname: Qin
authors.forename: Thomas W
authors.initials: TW
authors.lastname: Chittenden
authors.forename: Ling
authors.initials: L
authors.lastname: Gao
authors.forename: Justin D
authors.initials: JD
authors.lastname: Pearlman
mesh_terms: D001331:Automation; D002465:Cell Movement; D003584:Cytological Techniques / Q000379:methods* / Q000592:standards; D042783:Endothelial Cells / Q000166:cytology; D006801:Humans; D008722:Methods; D010781:Photography; D015203:Reproducibility of Results; D012906:Smoke / Q000009:adverse effects
chemical_list: D012906:Smoke
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