Quantitative analysis of venation patterns of Arabidopsis leaves by supervised image analysis
Quantitative analysis of venation patterns of Arabidopsis leaves by supervised image analysis
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DOI：
10.1111/j.1365-313x.2011.04803.x
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发表时间：
2012-02-01
期刊：
影响因子：
7.2
通讯作者：
Inze, Dirk
中科院分区：
文献类型：
--
作者：
Dhondt, Stijn;Van Haerenborgh, Dirk;Inze, Dirk
对具有改变的维管模式的转基因拟南芥品系的研究揭示了脉序过程中的关键参与者，但血管化过程的细节仍然不清楚，部分原因是大多数品系仅进行了定性评估。因此，需要定量分析来识别模式中的细微扰动，并使用生物测量来测试动态建模假设。我们开发了一个在线框架，指定叶图像分析接口（LIMANI），其中脉序模式自动分割和暗场图像测量。可以通过使用交互式界面手动校正图像分割，从而允许在自动图像分析流水线中进行监督和校正步骤，并确保高保真度分析。这种在线方法在安装、软件更新、计算机负载和数据存储方面对用户有利。该框架用于研究叶片发育过程中的维管分化，并分析转基因株系中的脉序模式，以对比细胞和叶片大小性状。结果表明，在叶片发育过程中的血管性状的演变，建议一个自组织的机制，叶片脉序图案，并揭示了一个紧密的平衡之间的端点和分支点的数量在叶维管网络，不依赖于叶片发育阶段和细胞内容，但在莲座叶的位置。这些发现表明，LIMANI的发展提高了对维管图案和叶片生长之间相互作用的理解。
The study of transgenic Arabidopsis lines with altered vascular patterns has revealed key players in the venation process, but details of the vascularization process are still unclear, partly because most lines have only been assessed qualitatively. Therefore, quantitative analyses are required to identify subtle perturbations in the pattern and to test dynamic modeling hypotheses using biological measurements. We developed an online framework, designated Leaf Image Analysis Interface (LIMANI), in which venation patterns are automatically segmented and measured on dark-field images. Image segmentation may be manually corrected through use of an interactive interface, allowing supervision and rectification steps in the automated image analysis pipeline and ensuring high-fidelity analysis. This online approach is advantageous for the user in terms of installation, software updates, computer load and data storage. The framework was used to study vascular differentiation during leaf development and to analyze the venation pattern in transgenic lines with contrasting cellular and leaf size traits. The results show the evolution of vascular traits during leaf development, suggest a self-organizing mechanism for leaf venation patterning, and reveal a tight balance between the number of end-points and branching points within the leaf vascular network that does not depend on the leaf developmental stage and cellular content, but on the leaf position on the rosette. These findings indicate that development of LIMANI improves understanding of the interaction between vascular patterning and leaf growth.