A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts.
Journal
STAR protocols
ISSN: 2666-1667
Titre abrégé: STAR Protoc
Pays: United States
ID NLM: 101769501
Informations de publication
Date de publication:
17 09 2021
17 09 2021
Historique:
entrez:
19
7
2021
pubmed:
20
7
2021
medline:
20
7
2021
Statut:
epublish
Résumé
During morphogenesis, cellular sheets undergo dynamic folding to build functional forms. Here, we develop an image-based quantitative morphology field (QMorF) protocol that quantifies the morphological features of cellular structures and associated distributions. Using feather shafts with different rigidities as examples, QMorF performs coarse-graining statistical measurements of the fitted cellular objects over a micro-image stack, revealing underlying mechanical coupling and developmental clues. These images give intuitive representations of mechanical forces and should be useful for analyzing tissue images showing clear cellular features. For complete details on the use and execution of this protocol, please refer to Chang et al. (2019).
Identifiants
pubmed: 34278338
doi: 10.1016/j.xpro.2021.100661
pii: S2666-1667(21)00368-3
pmc: PMC8271172
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
100661Informations de copyright
© 2021 The Author(s).
Déclaration de conflit d'intérêts
Applications for patents on our main methodology, referred to as QMorF in the manuscript, are pending in Taiwan and in the United States of America. C.-M.C. is a non-paid science advisor of Integrative Stem Cell Center, CMU/hospital.
Références
Cell. 2019 Nov 27;179(6):1409-1423.e17
pubmed: 31778655
Curr Opin Genet Dev. 2021 Mar 26;69:103-111
pubmed: 33780743