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A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts

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...

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Detalles Bibliográficos
Autores principales: Wu, Hao, Chiu, Yu-Kun, Tsai, Jih-Chiang, Chuong, Cheng-Ming, Juan, Wen-Tau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271172/
https://www.ncbi.nlm.nih.gov/pubmed/34278338
http://dx.doi.org/10.1016/j.xpro.2021.100661
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author Wu, Hao
Chiu, Yu-Kun
Tsai, Jih-Chiang
Chuong, Cheng-Ming
Juan, Wen-Tau
author_facet Wu, Hao
Chiu, Yu-Kun
Tsai, Jih-Chiang
Chuong, Cheng-Ming
Juan, Wen-Tau
author_sort Wu, Hao
collection PubMed
description 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).
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spelling pubmed-82711722021-07-16 A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts Wu, Hao Chiu, Yu-Kun Tsai, Jih-Chiang Chuong, Cheng-Ming Juan, Wen-Tau STAR Protoc Protocol 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). Elsevier 2021-07-06 /pmc/articles/PMC8271172/ /pubmed/34278338 http://dx.doi.org/10.1016/j.xpro.2021.100661 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Wu, Hao
Chiu, Yu-Kun
Tsai, Jih-Chiang
Chuong, Cheng-Ming
Juan, Wen-Tau
A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
title A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
title_full A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
title_fullStr A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
title_full_unstemmed A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
title_short A quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
title_sort quantitative image-based protocol for morphological characterization of cellular solids in feather shafts
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271172/
https://www.ncbi.nlm.nih.gov/pubmed/34278338
http://dx.doi.org/10.1016/j.xpro.2021.100661
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