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Micron-scale Phenotyping Techniques of Maize Vascular Bundles Based on X-ray Microcomputed Tomography

文献类型： 外文期刊

作者： Zhang, Ying 1 ; Ma, Liming 1 ; Pan, Xiaodi 1 ; Wang, Jinglu 1 ; Guo, Xinyu 1 ; Du, Jianjun 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Key Lab Digital Plant, Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

关键词： Biology; Issue 140; Maize; vascular bundle; micro-CT; image analysis pipeline; three-dimensional construction; microscopic phenotype

期刊名称：JOVE-JOURNAL OF VISUALIZED EXPERIMENTS （ 影响因子：1.355； 五年影响因子：1.696 ）

ISSN： 1940-087X

年卷期： 2018 年 140 期

页码：

收录情况： SCI

摘要： It is necessary to accurately quantify the anatomical structures of maize materials based on high-throughput image analysis techniques. Here, we provide a 'sample preparation protocol' for maize materials (i.e., stem, leaf, and root) suitable for ordinary micro-computed tomography (microCT) scanning. Based on high-resolution CT images of maize stem, leaf, and root, we describe two protocols for the phenotypic analysis of vascular bundles: (1) based on the CT image of maize stem and leaf, we developed a specific image analysis pipeline to automatically extract 31 and 33 phenotypic traits of vascular bundles; (2) based on the CT image series of maize root, we set up an image processing scheme for the three-dimensional (3-D) segmentation of metaxylem vessels, and extracted two-dimensional (2-D) and 3-D phenotypic traits, such as volume, surface area of metaxylem vessels, etc. Compared with traditional manual measurement of vascular bundles of maize materials, the proposed protocols significantly improve the efficiency and accuracy of micron-scale phenotypic quantification.

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