Journal article 1359 views
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal
M. Rowan Brown,
Huw Summers ,
Paul Rees ,
Sally C Chappell,
Oscar F Silvestre,
Imtiaz A Khan,
Paul J Smith,
Rachel J Errington,
Rowan Brown
Cytometry Part A, Volume: 77A, Issue: 10, Pages: 925 - 932
Swansea University Authors: Huw Summers , Paul Rees , Rowan Brown
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DOI (Published version): 10.1002/cyto.a.20936
Abstract
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal
Published in: | Cytometry Part A |
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ISSN: | 1552-4922 |
Published: |
2010
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URI: | https://cronfa.swan.ac.uk/Record/cronfa5711 |
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2016-05-27T14:21:37.0103646 v2 5711 2013-09-03 Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false d7db8d42c476dfa69c15ce06d29bd863 0000-0003-3628-2524 Rowan Brown Rowan Brown true false 2013-09-03 MEDE Journal Article Cytometry Part A 77A 10 925 932 1552-4922 31 12 2010 2010-12-31 10.1002/cyto.a.20936 This paper is one of the outputs produced during Dr Brown’s EPSRC mobility fellowship (School of Medicine at Cardiff University). The paper focuses on the development of statistical methods to describe nanoparticle dilution across a cellular population over many generations. Analysis provided insight into heterogeneity of cell-cycle times and the propensity of the individual cell to acquire and genealogically redistribute a nanoparticle dose. COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2016-05-27T14:21:37.0103646 2013-09-03T06:18:02.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering M. Rowan Brown 1 Huw Summers 0000-0002-0898-5612 2 Paul Rees 0000-0002-7715-6914 3 Sally C Chappell 4 Oscar F Silvestre 5 Imtiaz A Khan 6 Paul J Smith 7 Rachel J Errington 8 Rowan Brown 0000-0003-3628-2524 9 |
title |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal |
spellingShingle |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal Huw Summers Paul Rees Rowan Brown |
title_short |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal |
title_full |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal |
title_fullStr |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal |
title_full_unstemmed |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal |
title_sort |
Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal |
author_id_str_mv |
a61c15e220837ebfa52648c143769427 537a2fe031a796a3bde99679ee8c24f5 d7db8d42c476dfa69c15ce06d29bd863 |
author_id_fullname_str_mv |
a61c15e220837ebfa52648c143769427_***_Huw Summers 537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees d7db8d42c476dfa69c15ce06d29bd863_***_Rowan Brown |
author |
Huw Summers Paul Rees Rowan Brown |
author2 |
M. Rowan Brown Huw Summers Paul Rees Sally C Chappell Oscar F Silvestre Imtiaz A Khan Paul J Smith Rachel J Errington Rowan Brown |
format |
Journal article |
container_title |
Cytometry Part A |
container_volume |
77A |
container_issue |
10 |
container_start_page |
925 |
publishDate |
2010 |
institution |
Swansea University |
issn |
1552-4922 |
doi_str_mv |
10.1002/cyto.a.20936 |
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 |
document_store_str |
0 |
active_str |
0 |
published_date |
2010-12-31T03:06:54Z |
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1763749725786341376 |
score |
11.037603 |