Automated motion analysis of adherent cells in Monolayer culture

Zhen Zhang, Matthew Bedder, Stephen L. Smith*, Dawn Walker, Saqib Shabir, Jennifer Southgate

*Corresponding author for this work

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

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.

Original languageEnglish
Title of host publicationInformation Processing in Cells and Tissues
Subtitle of host publication10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings
EditorsMichael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel
PublisherSpringer
Pages185-194
Number of pages10
Volume9303
ISBN (Print)9783319231075
DOIs
Publication statusPublished - 2015
Event10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015 - San Diego, United States
Duration: 14 Sept 201516 Sept 2015

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

Conference

Conference10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015
Country/TerritoryUnited States
CitySan Diego
Period14/09/1516/09/15

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