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Microtomographic investigation of a large corpus of cichlids

A large collection of cichlids (N = 133) from Lake Victoria in Africa, with total lengths ranging from 6 to 18 cm was nondestructively imaged using micro-computed tomography. We present a method to efficiently obtain three-dimensional tomographic datasets of the oral and pharyngeal jaws and the whol...

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Detalles Bibliográficos
Autores principales: Haberthür, David, Law, Mikki, Ford, Kassandra, Häsler, Marcel, Seehausen, Ole, Hlushchuk, Ruslan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529598/
https://www.ncbi.nlm.nih.gov/pubmed/37756267
http://dx.doi.org/10.1371/journal.pone.0291003
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author Haberthür, David
Law, Mikki
Ford, Kassandra
Häsler, Marcel
Seehausen, Ole
Hlushchuk, Ruslan
author_facet Haberthür, David
Law, Mikki
Ford, Kassandra
Häsler, Marcel
Seehausen, Ole
Hlushchuk, Ruslan
author_sort Haberthür, David
collection PubMed
description A large collection of cichlids (N = 133) from Lake Victoria in Africa, with total lengths ranging from 6 to 18 cm was nondestructively imaged using micro-computed tomography. We present a method to efficiently obtain three-dimensional tomographic datasets of the oral and pharyngeal jaws and the whole skull of these fishes to accurately describe their morphology. The tomographic data we acquired (9.8 TB of projection images) yielded 1.5 TB of three-dimensional image stacks used for extracting the relevant features of interest. Herein we present our method and outlooks on analyzing the acquired data; a morphological description of the oral and pharyngeal jaws, a three-dimensional geometric morphometrics analysis of landmarked skull features, and a robust method to automatically extract otoliths from the tomographic data.
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spelling pubmed-105295982023-09-28 Microtomographic investigation of a large corpus of cichlids Haberthür, David Law, Mikki Ford, Kassandra Häsler, Marcel Seehausen, Ole Hlushchuk, Ruslan PLoS One Research Article A large collection of cichlids (N = 133) from Lake Victoria in Africa, with total lengths ranging from 6 to 18 cm was nondestructively imaged using micro-computed tomography. We present a method to efficiently obtain three-dimensional tomographic datasets of the oral and pharyngeal jaws and the whole skull of these fishes to accurately describe their morphology. The tomographic data we acquired (9.8 TB of projection images) yielded 1.5 TB of three-dimensional image stacks used for extracting the relevant features of interest. Herein we present our method and outlooks on analyzing the acquired data; a morphological description of the oral and pharyngeal jaws, a three-dimensional geometric morphometrics analysis of landmarked skull features, and a robust method to automatically extract otoliths from the tomographic data. Public Library of Science 2023-09-27 /pmc/articles/PMC10529598/ /pubmed/37756267 http://dx.doi.org/10.1371/journal.pone.0291003 Text en © 2023 Haberthür et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Haberthür, David
Law, Mikki
Ford, Kassandra
Häsler, Marcel
Seehausen, Ole
Hlushchuk, Ruslan
Microtomographic investigation of a large corpus of cichlids
title Microtomographic investigation of a large corpus of cichlids
title_full Microtomographic investigation of a large corpus of cichlids
title_fullStr Microtomographic investigation of a large corpus of cichlids
title_full_unstemmed Microtomographic investigation of a large corpus of cichlids
title_short Microtomographic investigation of a large corpus of cichlids
title_sort microtomographic investigation of a large corpus of cichlids
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529598/
https://www.ncbi.nlm.nih.gov/pubmed/37756267
http://dx.doi.org/10.1371/journal.pone.0291003
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