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Efficient imaging and computer vision detection of two cell shapes in young cotton fibers
PREMISE: The shape of young cotton (Gossypium) fibers varies within and between commercial cotton species, as revealed by previous detailed analyses of one cultivar of G. hirsutum and one of G. barbadense. Both narrow and wide fibers exist in G. hirsutum cv. Deltapine 90, which may impact the qualit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742826/ https://www.ncbi.nlm.nih.gov/pubmed/36518948 http://dx.doi.org/10.1002/aps3.11503 |
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author | Graham, Benjamin P. Park, Jeremy Billings, Grant T. Hulse‐Kemp, Amanda M. Haigler, Candace H. Lobaton, Edgar |
author_facet | Graham, Benjamin P. Park, Jeremy Billings, Grant T. Hulse‐Kemp, Amanda M. Haigler, Candace H. Lobaton, Edgar |
author_sort | Graham, Benjamin P. |
collection | PubMed |
description | PREMISE: The shape of young cotton (Gossypium) fibers varies within and between commercial cotton species, as revealed by previous detailed analyses of one cultivar of G. hirsutum and one of G. barbadense. Both narrow and wide fibers exist in G. hirsutum cv. Deltapine 90, which may impact the quality of our most abundant renewable textile material. More efficient cellular phenotyping methods are needed to empower future research efforts. METHODS: We developed semi‐automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered (narrow) or hemisphere (wide) fibers in homogeneous or mixed populations. RESULTS: The new methods were accurate for diverse accessions of G. hirsutum and G. barbadense and at least eight times more efficient than manual methods. Narrow fibers dominated in the three G. barbadense accessions analyzed, whereas the three G. hirsutum accessions showed a mixture of tapered and hemisphere fibers in varying proportions. DISCUSSION: The use or adaptation of these improved methods will facilitate experiments with higher throughput to understand the biological factors controlling the variable shapes of young cotton fibers or other elongating single cells. This research also enables the exploration of links between early cell shape and mature cotton fiber quality in diverse field‐grown cotton accessions. |
format | Online Article Text |
id | pubmed-9742826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97428262022-12-13 Efficient imaging and computer vision detection of two cell shapes in young cotton fibers Graham, Benjamin P. Park, Jeremy Billings, Grant T. Hulse‐Kemp, Amanda M. Haigler, Candace H. Lobaton, Edgar Appl Plant Sci Application Articles PREMISE: The shape of young cotton (Gossypium) fibers varies within and between commercial cotton species, as revealed by previous detailed analyses of one cultivar of G. hirsutum and one of G. barbadense. Both narrow and wide fibers exist in G. hirsutum cv. Deltapine 90, which may impact the quality of our most abundant renewable textile material. More efficient cellular phenotyping methods are needed to empower future research efforts. METHODS: We developed semi‐automated imaging methods for young cotton fibers and a novel machine learning algorithm for the rapid detection of tapered (narrow) or hemisphere (wide) fibers in homogeneous or mixed populations. RESULTS: The new methods were accurate for diverse accessions of G. hirsutum and G. barbadense and at least eight times more efficient than manual methods. Narrow fibers dominated in the three G. barbadense accessions analyzed, whereas the three G. hirsutum accessions showed a mixture of tapered and hemisphere fibers in varying proportions. DISCUSSION: The use or adaptation of these improved methods will facilitate experiments with higher throughput to understand the biological factors controlling the variable shapes of young cotton fibers or other elongating single cells. This research also enables the exploration of links between early cell shape and mature cotton fiber quality in diverse field‐grown cotton accessions. John Wiley and Sons Inc. 2022-11-26 /pmc/articles/PMC9742826/ /pubmed/36518948 http://dx.doi.org/10.1002/aps3.11503 Text en © 2022 The Authors. Applications in Plant Sciences published by Wiley Periodicals LLC on behalf of Botanical Society of America. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Articles Graham, Benjamin P. Park, Jeremy Billings, Grant T. Hulse‐Kemp, Amanda M. Haigler, Candace H. Lobaton, Edgar Efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
title | Efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
title_full | Efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
title_fullStr | Efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
title_full_unstemmed | Efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
title_short | Efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
title_sort | efficient imaging and computer vision detection of two cell shapes in young cotton fibers |
topic | Application Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742826/ https://www.ncbi.nlm.nih.gov/pubmed/36518948 http://dx.doi.org/10.1002/aps3.11503 |
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