Automated motion analysis of adherent cells in Monolayer culture

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Publication details

Title of host publicationInformation Processing in Cells and Tissues
DatePublished - 2015
Pages185-194
Number of pages10
PublisherSpringer-Verlag
EditorsMichael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel
Volume9303
Original languageEnglish
ISBN (Print)9783319231075

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9303
ISSN (Print)03029743
ISSN (Electronic)16113349

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 uroepithelial 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.

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