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

  • Authors:

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

  • Affiliations:

  • Multidisciplinary Nanotechnology Centre, Swansea University, Swansea, UK;Multidisciplinary Nanotechnology Centre, Swansea University, Swansea, UK;Multidisciplinary Nanotechnology Centre, Swansea University, Swansea, UK;School of Physics and Astronomy, Cardiff University, Cardiff, UK;School of Medicine, Cardiff University, Cardiff, UK;School of Medicine, Cardiff University, Cardiff, UK;School of Medicine, Cardiff University, Cardiff, UK;School of Medicine, Cardiff University, Cardiff, UK;Birck Nanotechnology Centre, Purdue University, West Lafayette, Indiana, IN

  • Venue:
  • CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
  • Year:
  • 2007

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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.