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Automated motion analysis of adherent cells in Monolayer culture
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published copy (DOI)
Author(s)
Department/unit(s)
Publication details
| Title of host publication | Information Processing in Cells and Tissues |
|---|---|
| Date | Published - 2015 |
| Pages | 185-194 |
| Number of pages | 10 |
| Publisher | Springer-Verlag |
| Editors | Michael Lones, Andy Tyrrell, Stephen Smith, Gary Fogel |
| Volume | 9303 |
| Original language | English |
| ISBN (Print) | 9783319231075 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9303 |
| 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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