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基于定量图像的羽毛轴中多孔固体的形态特征描述方法。

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

机构信息

Integrative Stem Cell Center, China Medical University Hospital, Taichung 40447, Taiwan.

Institute of Physics, Academia Sinica, Taipei 11529, Taiwan.

出版信息

STAR Protoc. 2021 Jul 6;2(3):100661. doi: 10.1016/j.xpro.2021.100661. eCollection 2021 Sep 17.

Abstract

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).

摘要

在形态发生过程中,细胞片层经历动态折叠以构建功能形式。在这里,我们开发了一种基于图像的定量形态学领域(QMorF)方案,该方案可定量分析细胞结构及其相关分布的形态特征。我们使用具有不同刚性的羽毛轴作为示例,通过对微图像堆栈进行拟合细胞对象的粗粒度统计测量,揭示了潜在的机械耦合和发育线索。这些图像直观地表示了机械力,对于分析显示清晰细胞特征的组织图像应该很有用。有关此协议的使用和执行的完整详细信息,请参阅 Chang 等人(2019 年)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02db/8271172/3437afb79682/fx1.jpg

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