Subtropical Plant Science ›› 2022, Vol. 51 ›› Issue (5): 397-404.DOI: 10.3969/j.issn.1009-7791.2022.05.011

• Plant ecology, resources and taxonomy • Previous Articles     Next Articles

A Simple Method of Making Leaf Vein Specimens and Using Image J Software to Analyze the Characteristics of Leaf Vein

QUAN Chang-bin, YAO Yu-xian*, MO Guang-you   

  1. (College of Biological Science and Agriculture, Qiannan Normal University for Nationalities, Duyun 558000, Guizhou China)
  • Received:2022-08-30 Accepted:2022-09-27 Online:2022-10-15 Published:2023-01-17
  • Contact: YAO Yu-xian

植物叶脉标本简单制作方法及基于Image J软件的叶脉图像分析

全昌彬,姚玉仙*,莫光友   

  1. (黔南民族师范学院生物科学与农学院,贵州 都匀 558000)
  • 通讯作者: 姚玉仙
  • 基金资助:
    贵州省教育厅自然科学基金项目(黔教合KY字[2019]211);贵州省科技计划项目(黔科合基础[2020]1Y120);黔南民族师范学院生物学一流学科专项建设经费(学科建设专项)

Abstract: The leaves of 12 species of plants were treated with 5% potassium hydroxide boiling water bath, and the mesophyll and epidermis were separated by ultrasonic cleaning. The leaf vein was prepared by bleaching and dyeing. The specimens were imaged using digital camera and microscope, and the images were analyzed using the macro analysis steps of Image J software MINA tool. The density, branches density, junction density and end-point voxels density of leaf veins of 12 plants were measured, and the accuracy of the measurement results was verified by manual tracking. The results showed that the experimental method could quickly obtain clear and complete vein network structure, and use Image J software MINA tool macro analysis steps to analyze the vein. Compared with the traditional sodium hydroxide tissue transparency method, this experimental method had shorter processing time, complete and clear leaf vein network structure, and the leaf vein density could be accurately measured by Image J software.

Key words: 5% potassium hydroxide, ultrasonic cleaning, leaf vein network structure, leaf vein density, Image J

摘要: 采用5%氢氧化钾沸水浴对12种植物叶片进行处理,结合超声波清洗使叶肉及表皮脱离,经漂白、染色制成叶脉标本。使用数码相机及显微镜对标本进行成像,利用Image J软件MINA工具宏的分析步骤对图像进行分析,测定12种植物叶脉的密度、分支密度、交点密度、端点密度,并通过手动追踪验证测量结果的准确性。结果表明,该方法可快速获得清晰完整的叶脉网络结构图,并且可以运用Image J软件MINA工具宏的分析步骤对叶脉进行分析。与传统的氢氧化钠组织透明法比较,该方法处理时间短,叶脉网络结构完整清晰,用Image J软件可准确测量叶脉密度。

关键词: 5%氢氧化钾, 超声波清洗, 叶脉网络结构, 叶脉密度, Image J 软件

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