A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.

Cementum, the tissue attaching mammal tooth roots to the periodontal ligament, grows appositionally throughout life, displaying a series of circum-annual incremental features. These have been studied for decades as a direct record of chronological lifespan. The majority of previous studies on cement...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Elis Newham, Pamela G Gill, Kate Robson Brown, Neil J Gostling, Ian J Corfe, Philipp Schneider
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c8665b7980214d24bedaaa6e30f60b6a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c8665b7980214d24bedaaa6e30f60b6a
record_format	dspace
spelling	oai:doaj.org-article:c8665b7980214d24bedaaa6e30f60b6a2021-12-02T20:04:24ZA robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.1932-620310.1371/journal.pone.0249743https://doaj.org/article/c8665b7980214d24bedaaa6e30f60b6a2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0249743https://doaj.org/toc/1932-6203Cementum, the tissue attaching mammal tooth roots to the periodontal ligament, grows appositionally throughout life, displaying a series of circum-annual incremental features. These have been studied for decades as a direct record of chronological lifespan. The majority of previous studies on cementum have used traditional thin-section histological methods to image and analyse increments. However, several caveats have been raised in terms of studying cementum increments in thin-sections. Firstly, the limited number of thin-sections and the two-dimensional perspective they impart provide an incomplete interpretation of cementum structure, and studies often struggle or fail to overcome complications in increment patterns that complicate or inhibit increment counting. Increments have been repeatedly shown to both split and coalesce, creating accessory increments that can bias increment counts. Secondly, identification and counting of cementum increments using human vision is subjective, and it has led to inaccurate readings in several experiments studying individuals of known age. Here, we have attempted to optimise a recently introduced imaging modality for cementum imaging; X-ray propagation-based phase-contrast imaging (PPCI). X-ray PPCI was performed for a sample of rhesus macaque (Macaca mulatta) lower first molars (n = 10) from a laboratory population of known age. PPCI allowed the qualitative identification of primary/annual versus intermittent secondary increments formed by splitting/coalescence. A new method for semi-automatic increment counting was then integrated into a purpose-built software package for studying cementum increments, to count increments in regions with minimal complications. Qualitative comparison with data from conventional cementochronology, based on histological examination of tissue thin-sections, confirmed that X-ray PPCI reliably and non-destructively records cementum increments (given the appropriate preparation of specimens prior to X-ray imaging). Validation of the increment counting algorithm suggests that it is robust and provides accurate estimates of increment counts. In summary, we show that our new increment counting method has the potential to overcome caveats of conventional cementochronology approaches, when used to analyse three-dimensional images provided by X-ray PPCI.Elis NewhamPamela G GillKate Robson BrownNeil J GostlingIan J CorfePhilipp SchneiderPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0249743 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elis Newham Pamela G Gill Kate Robson Brown Neil J Gostling Ian J Corfe Philipp Schneider A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.
description	Cementum, the tissue attaching mammal tooth roots to the periodontal ligament, grows appositionally throughout life, displaying a series of circum-annual incremental features. These have been studied for decades as a direct record of chronological lifespan. The majority of previous studies on cementum have used traditional thin-section histological methods to image and analyse increments. However, several caveats have been raised in terms of studying cementum increments in thin-sections. Firstly, the limited number of thin-sections and the two-dimensional perspective they impart provide an incomplete interpretation of cementum structure, and studies often struggle or fail to overcome complications in increment patterns that complicate or inhibit increment counting. Increments have been repeatedly shown to both split and coalesce, creating accessory increments that can bias increment counts. Secondly, identification and counting of cementum increments using human vision is subjective, and it has led to inaccurate readings in several experiments studying individuals of known age. Here, we have attempted to optimise a recently introduced imaging modality for cementum imaging; X-ray propagation-based phase-contrast imaging (PPCI). X-ray PPCI was performed for a sample of rhesus macaque (Macaca mulatta) lower first molars (n = 10) from a laboratory population of known age. PPCI allowed the qualitative identification of primary/annual versus intermittent secondary increments formed by splitting/coalescence. A new method for semi-automatic increment counting was then integrated into a purpose-built software package for studying cementum increments, to count increments in regions with minimal complications. Qualitative comparison with data from conventional cementochronology, based on histological examination of tissue thin-sections, confirmed that X-ray PPCI reliably and non-destructively records cementum increments (given the appropriate preparation of specimens prior to X-ray imaging). Validation of the increment counting algorithm suggests that it is robust and provides accurate estimates of increment counts. In summary, we show that our new increment counting method has the potential to overcome caveats of conventional cementochronology approaches, when used to analyse three-dimensional images provided by X-ray PPCI.
format	article
author	Elis Newham Pamela G Gill Kate Robson Brown Neil J Gostling Ian J Corfe Philipp Schneider
author_facet	Elis Newham Pamela G Gill Kate Robson Brown Neil J Gostling Ian J Corfe Philipp Schneider
author_sort	Elis Newham
title	A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.
title_short	A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.
title_full	A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.
title_fullStr	A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.
title_full_unstemmed	A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.
title_sort	robust, semi-automated approach for counting cementum increments imaged with synchrotron x-ray computed tomography.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/c8665b7980214d24bedaaa6e30f60b6a
work_keys_str_mv	AT elisnewham arobustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT pamelaggill arobustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT katerobsonbrown arobustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT neiljgostling arobustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT ianjcorfe arobustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT philippschneider arobustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT elisnewham robustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT pamelaggill robustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT katerobsonbrown robustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT neiljgostling robustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT ianjcorfe robustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography AT philippschneider robustsemiautomatedapproachforcountingcementumincrementsimagedwithsynchrotronxraycomputedtomography
_version_	1718375628250546176

A robust, semi-automated approach for counting cementum increments imaged with synchrotron X-ray computed tomography.

Ejemplares similares