Computational simulation of optical tracking of cell populations using quantum dot fluorophores

Martyn R. Brown, Paul Rees, Steve Wilks, Huw D. Summers, Rachel J. Errington, Kerenza L. Njoh, Sally C. Chappell, Paul J. Smith, James F. Leary

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

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationComputational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings
PublisherSpringer-Verlag
Pages96-105
Number of pages10
ISBN (Print)9783540751397
DOIs
StatePublished - 2007
EventInternational Conference on Computational Methods in Systems Biology, CMSB 2007 - Edinburgh, United Kingdom
Duration: Sep 20 2007Sep 21 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4695 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Computational Methods in Systems Biology, CMSB 2007
CountryUnited Kingdom
CityEdinburgh
Period9/20/079/21/07

Keywords

  • Cell division
  • Genetic algorithm
  • Monte-Carlo simulation
  • Quantum dot fluorophores

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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