Title | ||
---|---|---|
Computational simulation of optical tracking of cell populations using quantum dot fluorophores |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-75140-3_7 | CMSB |
Keywords | Field | DocType |
multiple generation,asymmetric mean split ratio,optical tracking,monte carlo algorithm,bio-stable optical marker signal,genetic algorithm,large cell population,computational simulation,stochastic variation,experiment quantum,cell mitosis,quantum dot,computer simulation,monte carlo simulation,cell division | Computational simulation,Monte Carlo method,Monte Carlo algorithm,Computer science,Theoretical computer science,Optical tracking,Quantum dot,Genetic algorithm | Conference |
Volume | ISSN | ISBN |
4695 | 0302-9743 | 3-540-75139-4 |
Citations | PageRank | References |
1 | 0.47 | 1 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
R. Brown | 1 | 63 | 3.06 |
Paul Rees | 2 | 7 | 1.78 |
Steve Wilks | 3 | 1 | 0.47 |
Huw D Summers | 4 | 7 | 1.44 |
Rachel J Errington | 5 | 12 | 2.53 |
Kerenza L. Njoh | 6 | 1 | 0.47 |
Sally C Chappell | 7 | 7 | 1.44 |
Paul J Smith | 8 | 21 | 4.11 |
James F. Leary | 9 | 1 | 0.47 |