Journal article 29 views
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry
Claire Barnes ,
Ann L. Power ,
Daniel G. Barber ,
Richard K. Tennant ,
Richard T. Jones,
G. Rob Lee,
Jackie Hatton,
Angela Elliott,
Joana Zaragoza‐Castells,
Stephen M. Haley ,
Huw Summers ,
Minh Doan ,
Anne E. Carpenter ,
Paul Rees ,
John Love
New Phytologist, Volume: 240, Issue: 3, Pages: 1305 - 1326
Swansea University Authors: Claire Barnes , Huw Summers , Paul Rees
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DOI (Published version): 10.1111/nph.19186
Abstract
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry
Published in: | New Phytologist |
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ISSN: | 0028-646X 1469-8137 |
Published: |
Wiley
2023
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68203 |
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2024-11-12T10:17:28.0821144 v2 68203 2024-11-06 Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry 024232879fc13d5ceac584360af8742c 0000-0003-1031-7127 Claire Barnes Claire Barnes true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 2024-11-06 EAAS Journal Article New Phytologist 240 3 1305 1326 Wiley 0028-646X 1469-8137 1 11 2023 2023-11-01 10.1111/nph.19186 http://dx.doi.org/10.1111/nph.19186 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University Another institution paid the OA fee 2024-11-12T10:17:28.0821144 2024-11-06T19:32:45.7492536 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Claire Barnes 0000-0003-1031-7127 1 Ann L. Power 0000-0002-7651-5276 2 Daniel G. Barber 0000-0002-5022-2846 3 Richard K. Tennant 0000-0003-3033-1858 4 Richard T. Jones 5 G. Rob Lee 6 Jackie Hatton 7 Angela Elliott 8 Joana Zaragoza‐Castells 9 Stephen M. Haley 0000-0002-5928-3063 10 Huw Summers 0000-0002-0898-5612 11 Minh Doan 0000-0002-3235-0457 12 Anne E. Carpenter 0000-0003-1555-8261 13 Paul Rees 0000-0002-7715-6914 14 John Love 0000-0003-0340-7431 15 |
title |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry |
spellingShingle |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry Claire Barnes Huw Summers Paul Rees |
title_short |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry |
title_full |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry |
title_fullStr |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry |
title_full_unstemmed |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry |
title_sort |
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry |
author_id_str_mv |
024232879fc13d5ceac584360af8742c a61c15e220837ebfa52648c143769427 537a2fe031a796a3bde99679ee8c24f5 |
author_id_fullname_str_mv |
024232879fc13d5ceac584360af8742c_***_Claire Barnes a61c15e220837ebfa52648c143769427_***_Huw Summers 537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees |
author |
Claire Barnes Huw Summers Paul Rees |
author2 |
Claire Barnes Ann L. Power Daniel G. Barber Richard K. Tennant Richard T. Jones G. Rob Lee Jackie Hatton Angela Elliott Joana Zaragoza‐Castells Stephen M. Haley Huw Summers Minh Doan Anne E. Carpenter Paul Rees John Love |
format |
Journal article |
container_title |
New Phytologist |
container_volume |
240 |
container_issue |
3 |
container_start_page |
1305 |
publishDate |
2023 |
institution |
Swansea University |
issn |
0028-646X 1469-8137 |
doi_str_mv |
10.1111/nph.19186 |
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/10.1111/nph.19186 |
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published_date |
2023-11-01T05:40:42Z |
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1821382848561545216 |
score |
11.04748 |