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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationNanoscale Imaging, Sensing, and Actuation for Biomedical Applications V
Volume6865
DOIs
StatePublished - Apr 21 2008
EventNanoscale Imaging, Sensing, and Actuation for Biomedical Applications V - San Jose, CA, United States
Duration: Jan 21 2008Jan 23 2008

Other

OtherNanoscale Imaging, Sensing, and Actuation for Biomedical Applications V
CountryUnited States
CitySan Jose, CA
Period1/21/081/23/08

Keywords

  • Cell mitosis
  • Cell populations
  • Cell proliferation
  • Flow cytometry
  • Genetic algorithm

ASJC Scopus subject areas

  • Engineering(all)

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