Paper
22 February 2008 Cell-population tracking using quantum dots in flow cytometry
Huw D. Summers, Rachel J. Errington, Paul J. Smith, Sally Chappell, Paul Rees, Martyn R. Brown, James F. Leary
Author Affiliations +
Abstract
We have used flow-cytometry together with computational modeling of quantum dot portioning during cell division to identify population distributions of proliferating cells. The objective has been to develop a robust assay of integrated cellular fluorescence which reports the extent of cellular bifurcation within a complex population and potentially provides profiles of drug resistance, cell clonality and levels of aneuploidy in tumour cells. The implementation of a data analysis program based on genetic algorithms provides a complete description of the proliferation dynamics and gives values for the inter-mitotic time, the partitioning ratio of quantum dots between daughter cells and their associated deviations.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huw D. Summers, Rachel J. Errington, Paul J. Smith, Sally Chappell, Paul Rees, Martyn R. Brown, and James F. Leary "Cell-population tracking using quantum dots in flow cytometry", Proc. SPIE 6865, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V, 68650L (22 February 2008); https://doi.org/10.1117/12.763602
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Cited by 3 scholarly publications.
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KEYWORDS
Quantum dots

Genetic algorithms

Flow cytometry

Computer simulations

Luminescence

Stochastic processes

Statistical analysis

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