No Cover Image

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 Orcid Logo, Paul Rees Orcid Logo, Sally C Chappell, Oscar F Silvestre, Imtiaz A Khan, Paul J Smith, Rachel J Errington, Rowan Brown Orcid Logo

Cytometry Part A, Volume: 77A, Issue: 10, Pages: 925 - 932

Swansea University Authors: Huw Summers Orcid Logo, Paul Rees Orcid Logo, Rowan Brown Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1002/cyto.a.20936

Published in: Cytometry Part A
ISSN: 1552-4922
Published: 2010
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa5711
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-07-23T11:53:29Z
last_indexed 2018-02-09T04:32:24Z
id cronfa5711
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2016-05-27T14:21:37.0103646</datestamp><bib-version>v2</bib-version><id>5711</id><entry>2013-09-03</entry><title>Long-term time series analysis of quantum dot encoded cells by deconvolution of the autofluorescence signal</title><swanseaauthors><author><sid>a61c15e220837ebfa52648c143769427</sid><ORCID>0000-0002-0898-5612</ORCID><firstname>Huw</firstname><surname>Summers</surname><name>Huw Summers</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>537a2fe031a796a3bde99679ee8c24f5</sid><ORCID>0000-0002-7715-6914</ORCID><firstname>Paul</firstname><surname>Rees</surname><name>Paul Rees</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d7db8d42c476dfa69c15ce06d29bd863</sid><ORCID>0000-0003-3628-2524</ORCID><firstname>Rowan</firstname><surname>Brown</surname><name>Rowan Brown</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-09-03</date><deptcode>MEDE</deptcode><abstract></abstract><type>Journal Article</type><journal>Cytometry Part A</journal><volume>77A</volume><journalNumber>10</journalNumber><paginationStart>925</paginationStart><paginationEnd>932</paginationEnd><publisher/><issnPrint>1552-4922</issnPrint><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2010</publishedYear><publishedDate>2010-12-31</publishedDate><doi>10.1002/cyto.a.20936</doi><url/><notes>This paper is one of the outputs produced during Dr Brown&#x2019;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.</notes><college>COLLEGE NANME</college><department>Biomedical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-05-27T14:21:37.0103646</lastEdited><Created>2013-09-03T06:18:02.0000000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Biomedical Engineering</level></path><authors><author><firstname>M. Rowan</firstname><surname>Brown</surname><order>1</order></author><author><firstname>Huw</firstname><surname>Summers</surname><orcid>0000-0002-0898-5612</orcid><order>2</order></author><author><firstname>Paul</firstname><surname>Rees</surname><orcid>0000-0002-7715-6914</orcid><order>3</order></author><author><firstname>Sally C</firstname><surname>Chappell</surname><order>4</order></author><author><firstname>Oscar F</firstname><surname>Silvestre</surname><order>5</order></author><author><firstname>Imtiaz A</firstname><surname>Khan</surname><order>6</order></author><author><firstname>Paul J</firstname><surname>Smith</surname><order>7</order></author><author><firstname>Rachel J</firstname><surname>Errington</surname><order>8</order></author><author><firstname>Rowan</firstname><surname>Brown</surname><orcid>0000-0003-3628-2524</orcid><order>9</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 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
_version_ 1763749725786341376
score 11.037603