3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera
1. The rapid and repeatable characterization of individual morphology has advanced automated taxonomic classification. The most direct study of evolutionary processes is, however, not from taxonomic description, but rather of the evolution of the traits that comprise individuals and define species....
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ftsouthampton:oai:eprints.soton.ac.uk:492222 2024-09-15T18:30:57+00:00 3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera Lin, Huahua Zhang, Wenshu Mulqueeney, James Michael Brombacher, Anieke Searle-Barnes, Alex Nixon, Mark Cai, Xiaohao Ezard, Tom 2024-06-26 text https://eprints.soton.ac.uk/492222/ https://eprints.soton.ac.uk/492222/1/MEE-24-01-017_Final_Manuscript.pdf en English eng https://eprints.soton.ac.uk/492222/1/MEE-24-01-017_Final_Manuscript.pdf Lin, Huahua, Zhang, Wenshu, Mulqueeney, James Michael, Brombacher, Anieke, Searle-Barnes, Alex, Nixon, Mark, Cai, Xiaohao and Ezard, Tom (2024) 3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera. Methods in Ecology and Evolution. (In Press) cc_by_nc_4 Article PeerReviewed 2024 ftsouthampton 2024-08-27T23:48:25Z 1. The rapid and repeatable characterization of individual morphology has advanced automated taxonomic classification. The most direct study of evolutionary processes is, however, not from taxonomic description, but rather of the evolution of the traits that comprise individuals and define species. Repeatable signatures of individual morphology are crucial for analyzing the response to selection at scale, and thus tracking evolutionary trajectories through time and across species boundaries. 2. Here, we introduce our 3DKMI – an open-source MATLAB package designed for the study of morphology using three-dimensional (3D) Krawtchouk moment invariants. The volumetric features derived from the 3D images remain stable under translation, scaling, and rotation and, for an image of size 128 × 128 × 128 can be computed in less than 0.1 seconds. 3. We applied our package as a case study on a collection of 300 X-ray computed tomography scans of planktonic foraminifera specimens across five species to (1) assess the invariance of the features under different transformations and (2) analyze morphological differences among species based on the extracted characteristics. 4. We show that 3DKMI has the capacity to efficiently and repeatedly characterize the signatures of individual morphology. In the future, we hope that the 3D feature extraction technique 3DKMI will be widely applied to digital collections to advance research in ecology and evolution Article in Journal/Newspaper Planktonic foraminifera University of Southampton: e-Prints Soton |
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Open Polar |
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University of Southampton: e-Prints Soton |
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ftsouthampton |
language |
English |
description |
1. The rapid and repeatable characterization of individual morphology has advanced automated taxonomic classification. The most direct study of evolutionary processes is, however, not from taxonomic description, but rather of the evolution of the traits that comprise individuals and define species. Repeatable signatures of individual morphology are crucial for analyzing the response to selection at scale, and thus tracking evolutionary trajectories through time and across species boundaries. 2. Here, we introduce our 3DKMI – an open-source MATLAB package designed for the study of morphology using three-dimensional (3D) Krawtchouk moment invariants. The volumetric features derived from the 3D images remain stable under translation, scaling, and rotation and, for an image of size 128 × 128 × 128 can be computed in less than 0.1 seconds. 3. We applied our package as a case study on a collection of 300 X-ray computed tomography scans of planktonic foraminifera specimens across five species to (1) assess the invariance of the features under different transformations and (2) analyze morphological differences among species based on the extracted characteristics. 4. We show that 3DKMI has the capacity to efficiently and repeatedly characterize the signatures of individual morphology. In the future, we hope that the 3D feature extraction technique 3DKMI will be widely applied to digital collections to advance research in ecology and evolution |
format |
Article in Journal/Newspaper |
author |
Lin, Huahua Zhang, Wenshu Mulqueeney, James Michael Brombacher, Anieke Searle-Barnes, Alex Nixon, Mark Cai, Xiaohao Ezard, Tom |
spellingShingle |
Lin, Huahua Zhang, Wenshu Mulqueeney, James Michael Brombacher, Anieke Searle-Barnes, Alex Nixon, Mark Cai, Xiaohao Ezard, Tom 3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera |
author_facet |
Lin, Huahua Zhang, Wenshu Mulqueeney, James Michael Brombacher, Anieke Searle-Barnes, Alex Nixon, Mark Cai, Xiaohao Ezard, Tom |
author_sort |
Lin, Huahua |
title |
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera |
title_short |
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera |
title_full |
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera |
title_fullStr |
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera |
title_full_unstemmed |
3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera |
title_sort |
3dkmi: a matlab package to generate shape signatures from krawtchouk moments and an application to species delimitation in planktonic foraminifera |
publishDate |
2024 |
url |
https://eprints.soton.ac.uk/492222/ https://eprints.soton.ac.uk/492222/1/MEE-24-01-017_Final_Manuscript.pdf |
genre |
Planktonic foraminifera |
genre_facet |
Planktonic foraminifera |
op_relation |
https://eprints.soton.ac.uk/492222/1/MEE-24-01-017_Final_Manuscript.pdf Lin, Huahua, Zhang, Wenshu, Mulqueeney, James Michael, Brombacher, Anieke, Searle-Barnes, Alex, Nixon, Mark, Cai, Xiaohao and Ezard, Tom (2024) 3DKMI: A MATLAB package to generate shape signatures from Krawtchouk moments and an application to species delimitation in planktonic foraminifera. Methods in Ecology and Evolution. (In Press) |
op_rights |
cc_by_nc_4 |
_version_ |
1810472502053306368 |