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

doi:10.1007/978-3-540-75140-3_7

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

Houston Methodist

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings
Publisher	Springer-Verlag
Pages	96-105
Number of pages	10
ISBN (Print)	9783540751397
DOIs	https://doi.org/10.1007/978-3-540-75140-3_7
State	Published - 2007
Event	International Conference on Computational Methods in Systems Biology, CMSB 2007 - Edinburgh, United Kingdom Duration: Sep 20 2007 → Sep 21 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4695 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Conference on Computational Methods in Systems Biology, CMSB 2007
Country/Territory	United Kingdom
City	Edinburgh
Period	9/20/07 → 9/21/07

Keywords

Cell division
Genetic algorithm
Monte-Carlo simulation
Quantum dot fluorophores

ASJC Scopus subject areas

General Computer Science
General Biochemistry, Genetics and Molecular Biology
Theoretical Computer Science

Access to Document

10.1007/978-3-540-75140-3_7

Cite this

Brown, M. R., Rees, P., Wilks, S., Summers, H. D., Errington, R. J., Njoh, K. L., Chappell, S. C., Smith, P. J., & Leary, J. F. (2007). Computational simulation of optical tracking of cell populations using quantum dot fluorophores. In Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings (pp. 96-105). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4695 LNBI). Springer-Verlag. https://doi.org/10.1007/978-3-540-75140-3_7

Computational simulation of optical tracking of cell populations using quantum dot fluorophores. / Brown, Martyn R.; Rees, Paul; Wilks, Steve et al.
Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings. Springer-Verlag, 2007. p. 96-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4695 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Brown, MR, Rees, P, Wilks, S, Summers, HD, Errington, RJ, Njoh, KL, Chappell, SC, Smith, PJ & Leary, JF 2007, Computational simulation of optical tracking of cell populations using quantum dot fluorophores. in Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4695 LNBI, Springer-Verlag, pp. 96-105, International Conference on Computational Methods in Systems Biology, CMSB 2007, Edinburgh, United Kingdom, 9/20/07. https://doi.org/10.1007/978-3-540-75140-3_7

Brown MR, Rees P, Wilks S, Summers HD, Errington RJ, Njoh KL et al. Computational simulation of optical tracking of cell populations using quantum dot fluorophores. In Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings. Springer-Verlag. 2007. p. 96-105. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-75140-3_7

Brown, Martyn R. ; Rees, Paul ; Wilks, Steve et al. / Computational simulation of optical tracking of cell populations using quantum dot fluorophores. Computational Methods in Systems Biology - International Conference, CMSB 2007, Proceedings. Springer-Verlag, 2007. pp. 96-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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AU - Njoh, Kerenza L.

AU - Chappell, Sally C.

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AU - Leary, James F.

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AB - 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.

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KW - Genetic algorithm

KW - Monte-Carlo simulation

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

Abstract

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Keywords

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