Journal article 2 views
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration
Bethany Hunter,
Ioana Nicorescu,
Emma Foster,
David McDonald,
Gillian Hulme,
Andrew Fuller,
Amanda Thomson,
Thibaut Goldsborough,
Catharien M. U. Hilkens,
Joaquim Majo,
Luke Milross,
Andrew Fisher,
Peter Bankhead,
John Wills ,
Paul Rees ,
Andrew Filby,
George Merces
Cytometry Part A, Volume: 105, Issue: 1, Pages: 36 - 53
Swansea University Author: Paul Rees
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DOI (Published version): 10.1002/cyto.a.24803
Abstract
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration
Published in: | Cytometry Part A |
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ISSN: | 1552-4922 1552-4930 |
Published: |
Wiley
2024
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68202 |
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2024-11-14T17:41:18.2866884 v2 68202 2024-11-06 <scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 2024-11-06 EAAS Journal Article Cytometry Part A 105 1 36 53 Wiley 1552-4922 1552-4930 1 1 2024 2024-01-01 10.1002/cyto.a.24803 http://dx.doi.org/10.1002/cyto.a.24803 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University Another institution paid the OA fee 2024-11-14T17:41:18.2866884 2024-11-06T19:32:22.7169219 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Bethany Hunter 1 Ioana Nicorescu 2 Emma Foster 3 David McDonald 4 Gillian Hulme 5 Andrew Fuller 6 Amanda Thomson 7 Thibaut Goldsborough 8 Catharien M. U. Hilkens 9 Joaquim Majo 10 Luke Milross 11 Andrew Fisher 12 Peter Bankhead 13 John Wills 0000-0002-4347-5394 14 Paul Rees 0000-0002-7715-6914 15 Andrew Filby 16 George Merces 17 |
title |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration |
spellingShingle |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration Paul Rees |
title_short |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration |
title_full |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration |
title_fullStr |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration |
title_full_unstemmed |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration |
title_sort |
<scp>OPTIMAL</scp>: An <scp>OPTimized</scp> Imaging Mass cytometry <scp>AnaLysis</scp> framework for benchmarking segmentation and data exploration |
author_id_str_mv |
537a2fe031a796a3bde99679ee8c24f5 |
author_id_fullname_str_mv |
537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees |
author |
Paul Rees |
author2 |
Bethany Hunter Ioana Nicorescu Emma Foster David McDonald Gillian Hulme Andrew Fuller Amanda Thomson Thibaut Goldsborough Catharien M. U. Hilkens Joaquim Majo Luke Milross Andrew Fisher Peter Bankhead John Wills Paul Rees Andrew Filby George Merces |
format |
Journal article |
container_title |
Cytometry Part A |
container_volume |
105 |
container_issue |
1 |
container_start_page |
36 |
publishDate |
2024 |
institution |
Swansea University |
issn |
1552-4922 1552-4930 |
doi_str_mv |
10.1002/cyto.a.24803 |
publisher |
Wiley |
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 |
url |
http://dx.doi.org/10.1002/cyto.a.24803 |
document_store_str |
0 |
active_str |
0 |
published_date |
2024-01-01T14:45:24Z |
_version_ |
1821417117657858048 |
score |
11.048085 |