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.
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. Brown1633.06
Paul Rees271.78
Steve Wilks310.47
Huw D Summers471.44
Rachel J Errington5122.53
Kerenza L. Njoh610.47
Sally C Chappell771.44
Paul J Smith8214.11
James F. Leary910.47