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Leaf extraction and analysis framework graphical user interface: Segmenting and analyzing the structure of leaf veins and areoles

机译:叶提取和分析框架图形用户界面:分割和分析叶脉和槟榔的结构

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摘要

Interest in the structure and function of physical biological networks has spurred the development of a number of theoretical models that predict optimal network structures across a broad array of taxonomic groups, from mammals to plants. In many cases, direct tests of predicted network structure are impossible given the lack of suitable empirical methods to quantify physical network geometry with sufficient scope and resolution. There is a long history of empirical methods to quantify the network structure of plants, from roots, to xylem networks in shoots and within leaves. However, with few exceptions, current methods emphasize the analysis of portions of, rather than entire networks. Here, we introduce the Leaf Extraction and Analysis Framework Graphical User Interface (LEAF GUI), a user-assisted software tool that facilitates improved empirical understanding of leaf network structure. LEAF GUI takes images of leaves where veins have been enhanced relative to the background, and following a series of interactive thresholding and cleaning steps, returns a suite of statistics and information on the structure of leaf venation networks and areoles. Metrics include the dimensions, position, and connectivity of all network veins, and the dimensions, shape, and position of the areoles they surround. Available for free download, the LEAF GUI software promises to facilitate improved understanding of the adaptive and ecological significance of leaf vein network structure.
机译:对物理生物网络的结构和功能的兴趣刺激了许多理论模型的发展,这些理论模型预测了从哺乳动物到植物的广泛分类群中的最佳网络结构。在许多情况下,由于缺乏合适的经验方法来量化具有足够范围和分辨率的物理网络几何形状,因此无法对预期的网络结构进行直接测试。量化植物网络结构的经验方法已有很长的历史,从根部到枝条和叶内的木质部网络都可以。但是,除了少数例外,当前的方法着重分析部分网络而不是整个网络。在这里,我们介绍叶子提取和分析框架图形用户界面(LEAF GUI),这是一种用户辅助的软件工具,可促进对叶子网络结构的经验了解。 LEAF GUI拍摄叶子的图像,其中的静脉相对于背景得到了增强,并遵循一系列交互式阈值和清洁步骤,返回有关叶子通风网络和小孔结构的一组统计信息。度量标准包括所有网络静脉的尺寸,位置和连通性,以及它们所包围的油环的尺寸,形状和位置。 LEAF GUI软件可免费下载,它有望促进对叶静脉网络结构的适应性和生态学意义的更好理解。

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