@inproceedings{4505484aa7764b9aa6f2d807de380c2c,
title = "Automated motion analysis of adherent cells in Monolayer culture",
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.",
author = "Zhen Zhang and Matthew Bedder and Smith, {Stephen L.} and Dawn Walker and Saqib Shabir and Jennifer Southgate",
year = "2015",
doi = "10.1007/978-3-319-23108-2_16",
language = "English",
isbn = "9783319231075",
volume = "9303",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "185--194",
editor = "Lones, {Michael } and Andy Tyrrell and Stephen Smith and Gary Fogel",
booktitle = "Information Processing in Cells and Tissues",
address = "Germany",
note = "10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015 ; Conference date: 14-09-2015 Through 16-09-2015",
}