Journal article 839 views
Poisson-event-based analysis of cell proliferation
Cytometry Part A, Volume: 87, Issue: 5, Pages: 385 - 392
Swansea University Author:
Huw Summers
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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...
Published in: | Cytometry Part A |
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2015
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URI: | https://cronfa.swan.ac.uk/Record/cronfa20185 |
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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 MEDE 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 Biomedical Engineering COLLEGE CODE MEDE 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 |
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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 |
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87 |
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5 |
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385 |
publishDate |
2015 |
institution |
Swansea University |
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10.1002/cyto.a.22620 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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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 |
2015-05-31T03:23:47Z |
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1763750788611440640 |
score |
11.021648 |