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

doi:10.1117/12.763602

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 proceeding › Conference 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 language	English (US)
Title of host publication	Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V
Volume	6865
DOIs	https://doi.org/10.1117/12.763602
State	Published - Apr 21 2008
Event	Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V - San Jose, CA, United States Duration: Jan 21 2008 → Jan 23 2008

Other

Other	Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V
Country/Territory	United States
City	San Jose, CA
Period	1/21/08 → 1/23/08

Keywords

Cell mitosis
Cell populations
Cell proliferation
Flow cytometry
Genetic algorithm

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1117/12.763602

Cite this

Summers, HD, Errington, RJ, Smith, PJ, Chappell, S, Rees, P, Brown, MR & Leary, JF 2008, Cell-population tracking using quantum dots in flow cytometry. in Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V. vol. 6865, 68650L, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V, San Jose, CA, United States, 1/21/08. https://doi.org/10.1117/12.763602

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title = "Cell-population tracking using quantum dots in flow cytometry",

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.",

keywords = "Cell mitosis, Cell populations, Cell proliferation, Flow cytometry, Genetic algorithm",

author = "Summers, {Huw D.} and Errington, {Rachel J.} and Smith, {Paul J.} and Sally Chappell and Paul Rees and Brown, {Martyn R.} and Leary, {James F.}",

year = "2008",

month = apr,

day = "21",

doi = "10.1117/12.763602",

language = "English (US)",

isbn = "9780819470409",

volume = "6865",

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note = "Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V ; Conference date: 21-01-2008 Through 23-01-2008",

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T1 - Cell-population tracking using quantum dots in flow cytometry

AU - Summers, Huw D.

AU - Errington, Rachel J.

AU - Smith, Paul J.

AU - Chappell, Sally

AU - Rees, Paul

AU - Brown, Martyn R.

AU - Leary, James F.

PY - 2008/4/21

Y1 - 2008/4/21

N2 - 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.

AB - 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.

KW - Cell mitosis

KW - Cell populations

KW - Cell proliferation

KW - Flow cytometry

KW - Genetic algorithm

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U2 - 10.1117/12.763602

DO - 10.1117/12.763602

M3 - Conference contribution

AN - SCOPUS:42149161697

SN - 9780819470409

VL - 6865

BT - Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V

T2 - Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V

Y2 - 21 January 2008 through 23 January 2008

ER -

Cell-population tracking using quantum dots in flow cytometry

Abstract

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Keywords

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