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An Image Analysis Pipeline to Quantify Emerging Cracks in Materials or Adhesion Defects in Living Tissues.

Bio-protocol · 1 Oct 2018 · 10.21769/bioprotoc.3036

Abstract

Microcracks in materials reflect their mechanical properties. The quantification of the number or orientation of such cracks is thus essential in many fields, including engineering and geology. In biology, cracks in soft tissues can reflect adhesion defects, and the analysis of their pattern can help to deduce the magnitude and orientation of tensions in organs and tissues. Here, we describe a semi-automatic method amenable to analyze cell separations occurring in the epidermis of Arabidopsis thaliana seedlings. Our protocol is applicable to any image exhibiting small cracks, and thus also adapted to the analysis of emerging cracks in animal tissues and materials.

Plant phenotyping relevance

Arabidopsis幼苗の表皮に生じる細胞分離・亀裂を画像から半自動定量する方法が論文の中心であり、植物組織の形態状態を測定するフェノタイピング手法に該当する。

abstractHere, we describe a semi-automatic method amenable to analyze cell separations occurring in the epidermis of Arabidopsis thaliana seedlings.

Code and data availability

保存済みの本文根拠を更新済みルールで再検証し、公開資産1件を確認しました。

Codepublic

Cell Separation Image Analysis Pipeline (Image analysis script described in this protocol) ( https://github.com/sverger/Cell_separation_analysis )

Open resource ↗sverger/Cell_separation_analysis · lines:53-86

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