@inproceedings{e1a9e3f6654e4f079421bf609269b483,
title = "Computational simulation of optical tracking of cell populations using quantum dot fluorophores",
abstract = "Quantum dot fluorophores provide a photo and bio-stable optical marker signal well suited to the tracking of lineage within large cell populations over multiple generations. We have used a Monte Carlo algorithm to model the process of dot partitioning and dilution by cell mitosis. A Genetic Algorithm was used to compare simulated and experiment quantum dot distributions, which shows that the dot fluorescence is divided with a stochastic variation about an asymmetric mean split ratio.",
keywords = "Cell division, Genetic algorithm, Monte-Carlo simulation, Quantum dot fluorophores",
author = "Brown, {Martyn R.} and Paul Rees and Steve Wilks and Summers, {Huw D.} and Errington, {Rachel J.} and Njoh, {Kerenza L.} and Chappell, {Sally C.} and Smith, {Paul J.} and Leary, {James F.}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Computational Methods in Systems Biology, CMSB 2007 ; Conference date: 20-09-2007 Through 21-09-2007",
year = "2007",
doi = "10.1007/978-3-540-75140-3_7",
language = "English (US)",
isbn = "9783540751397",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "96--105",
booktitle = "Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings",
}