A Fast, Robust Method for Quantitative Assessment of Collagen Fibril Architecture from Transmission Electron Micrographs.
collagen
extracellular matrix
image segmentation
transmission electron microscopy
Journal
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
ISSN: 1435-8115
Titre abrégé: Microsc Microanal
Pays: England
ID NLM: 9712707
Informations de publication
Date de publication:
19 Oct 2023
19 Oct 2023
Historique:
received:
03
05
2023
revised:
21
09
2023
accepted:
25
09
2023
medline:
19
10
2023
pubmed:
19
10
2023
entrez:
19
10
2023
Statut:
aheadofprint
Résumé
Collagen is the most abundant protein in mammals; it exhibits a hierarchical organization and provides structural support to a wide range of soft tissues, including blood vessels. The architecture of collagen fibrils dictates vascular stiffness and strength, and changes therein can contribute to disease progression. While transmission electron microscopy (TEM) is routinely used to examine collagen fibrils under normal and pathological conditions, computational tools that enable fast and minimally subjective quantitative assessment remain lacking. In the present study, we describe a novel semi-automated image processing and statistical modeling pipeline for segmenting individual collagen fibrils from TEM images and quantifying key metrics of interest, including fibril cross-sectional area and aspect ratio. For validation, we show first-of-their-kind illustrative results for adventitial collagen in the thoracic aorta from three different mouse models.
Identifiants
pubmed: 37856696
pii: 7323808
doi: 10.1093/micmic/ozad116
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Commentaires et corrections
Type : UpdateOf
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press on behalf of the Microscopy Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.