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Paleomass for R—bracketing body volume of marine vertebrates with 3D models

Body mass is arguably the most important characteristic of an organism, yet it is often not available in biological samples that have been skeletonized, liquid-preserved, or fossilized. The lack of information is especially problematic for fossil species, for which individuals with body mass informa...

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Autor principal: Motani, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460563/
https://www.ncbi.nlm.nih.gov/pubmed/37641602
http://dx.doi.org/10.7717/peerj.15957
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author Motani, Ryosuke
author_facet Motani, Ryosuke
author_sort Motani, Ryosuke
collection PubMed
description Body mass is arguably the most important characteristic of an organism, yet it is often not available in biological samples that have been skeletonized, liquid-preserved, or fossilized. The lack of information is especially problematic for fossil species, for which individuals with body mass information are not available anywhere. Multiple methods are available for estimating the body mass of fossil terrestrial vertebrates but those for their marine counterparts are limited. Paleomass is a software tool for estimating the body mass of marine vertebrates from their orthogonal silhouettes through bracketing. It generates a set of two 3D models from these silhouettes, assuming superelliptical body cross-sections with different exponent values. By setting the exponents appropriately, it is possible to bracket the true volume of the animal between those of the two models. The original version phased out together with the language platform it used. A new version is reported here as an open-source package based on the R scripting language. It inherits the underlying principles of the original version but has been completely rewritten with a new architecture. For example, it first produces 3D mesh models of the animal and then measures their volumes and areas with the VCG library, unlike the original version that did not produce a 3D model but instead computed the volume and area segment by segment using parametric equations. The new version also exports 3D models in polygon meshes, allowing later tests by other software. Other improvements include the use of NACA foil sections for hydrofoils such as flippers, and optional interpolation with local regression. The software has a high accuracy, with the mean absolute errors of 1.33% when the silhouettes of the animals are known.
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spelling pubmed-104605632023-08-28 Paleomass for R—bracketing body volume of marine vertebrates with 3D models Motani, Ryosuke PeerJ Bioinformatics Body mass is arguably the most important characteristic of an organism, yet it is often not available in biological samples that have been skeletonized, liquid-preserved, or fossilized. The lack of information is especially problematic for fossil species, for which individuals with body mass information are not available anywhere. Multiple methods are available for estimating the body mass of fossil terrestrial vertebrates but those for their marine counterparts are limited. Paleomass is a software tool for estimating the body mass of marine vertebrates from their orthogonal silhouettes through bracketing. It generates a set of two 3D models from these silhouettes, assuming superelliptical body cross-sections with different exponent values. By setting the exponents appropriately, it is possible to bracket the true volume of the animal between those of the two models. The original version phased out together with the language platform it used. A new version is reported here as an open-source package based on the R scripting language. It inherits the underlying principles of the original version but has been completely rewritten with a new architecture. For example, it first produces 3D mesh models of the animal and then measures their volumes and areas with the VCG library, unlike the original version that did not produce a 3D model but instead computed the volume and area segment by segment using parametric equations. The new version also exports 3D models in polygon meshes, allowing later tests by other software. Other improvements include the use of NACA foil sections for hydrofoils such as flippers, and optional interpolation with local regression. The software has a high accuracy, with the mean absolute errors of 1.33% when the silhouettes of the animals are known. PeerJ Inc. 2023-08-24 /pmc/articles/PMC10460563/ /pubmed/37641602 http://dx.doi.org/10.7717/peerj.15957 Text en © 2023 Motani 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Motani, Ryosuke
Paleomass for R—bracketing body volume of marine vertebrates with 3D models
title Paleomass for R—bracketing body volume of marine vertebrates with 3D models
title_full Paleomass for R—bracketing body volume of marine vertebrates with 3D models
title_fullStr Paleomass for R—bracketing body volume of marine vertebrates with 3D models
title_full_unstemmed Paleomass for R—bracketing body volume of marine vertebrates with 3D models
title_short Paleomass for R—bracketing body volume of marine vertebrates with 3D models
title_sort paleomass for r—bracketing body volume of marine vertebrates with 3d models
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460563/
https://www.ncbi.nlm.nih.gov/pubmed/37641602
http://dx.doi.org/10.7717/peerj.15957
work_keys_str_mv AT motaniryosuke paleomassforrbracketingbodyvolumeofmarinevertebrateswith3dmodels