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Poisson-event-based analysis of cell proliferation

Huw Summers Orcid Logo, John W. Wills, M. Rowan Brown, Paul Rees

Cytometry Part A, Volume: 87, Issue: 5, Pages: 385 - 392

Swansea University Author: Huw Summers Orcid Logo

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DOI (Published version): 10.1002/cyto.a.22620

Abstract

Analyses of cell proliferation typically involve detailed, time lapse imaging of the cell population from which the life cycle of the cell can be tracked. In this paper we present a new approach that demonstrates quantitative descriptions of a growing cell colony through measurement of the cell divi...

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Published in: Cytometry Part A
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa20185
first_indexed 2015-02-20T03:00:00Z
last_indexed 2018-02-09T04:56:25Z
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spelling 2018-01-19T18:48:47.6373420 v2 20185 2015-02-19 Poisson-event-based analysis of cell proliferation a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 2015-02-19 EAAS Analyses of cell proliferation typically involve detailed, time lapse imaging of the cell population from which the life cycle of the cell can be tracked. In this paper we present a new approach that demonstrates quantitative descriptions of a growing cell colony through measurement of the cell division events rather than tracking of their whole life cycle. The technique is based on approaches taken in reliability engineering where statistical mathematics is used to predict the distribution in probability of success or failure. In this instance we consider successive cell division events as a temporal Poisson process. Journal Article Cytometry Part A 87 5 385 392 31 5 2015 2015-05-31 10.1002/cyto.a.22620 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University 2018-01-19T18:48:47.6373420 2015-02-19T11:28:30.5604205 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Huw Summers 0000-0002-0898-5612 1 John W. Wills 2 M. Rowan Brown 3 Paul Rees 4
title Poisson-event-based analysis of cell proliferation
spellingShingle Poisson-event-based analysis of cell proliferation
Huw Summers
title_short Poisson-event-based analysis of cell proliferation
title_full Poisson-event-based analysis of cell proliferation
title_fullStr Poisson-event-based analysis of cell proliferation
title_full_unstemmed Poisson-event-based analysis of cell proliferation
title_sort Poisson-event-based analysis of cell proliferation
author_id_str_mv a61c15e220837ebfa52648c143769427
author_id_fullname_str_mv a61c15e220837ebfa52648c143769427_***_Huw Summers
author Huw Summers
author2 Huw Summers
John W. Wills
M. Rowan Brown
Paul Rees
format Journal article
container_title Cytometry Part A
container_volume 87
container_issue 5
container_start_page 385
publishDate 2015
institution Swansea University
doi_str_mv 10.1002/cyto.a.22620
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
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description Analyses of cell proliferation typically involve detailed, time lapse imaging of the cell population from which the life cycle of the cell can be tracked. In this paper we present a new approach that demonstrates quantitative descriptions of a growing cell colony through measurement of the cell division events rather than tracking of their whole life cycle. The technique is based on approaches taken in reliability engineering where statistical mathematics is used to predict the distribution in probability of success or failure. In this instance we consider successive cell division events as a temporal Poisson process.
published_date 2015-05-31T18:38:41Z
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score 11.04748

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