Bühler Jonas, Rishmawi Louai, Pflugfelder Daniel, Huber Gregor, Scharr Hanno, Hülskamp Martin, Koornneef Maarten, Schurr Ulrich, Jahnke Siegfried
Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Juelich, Germany (J.B., D.P., G.H., H.S., U.S., S.J.);Botanical Institute and Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne Biocenter, 50674 Cologne, Germany (L.R., M.H); andMax Planck Institute for Plant Breeding Research, Cluster of Excellence on Plant Sciences (CEPLAS), 50829 Cologne, Germany (L.R., M.K.)
Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Juelich, Germany (J.B., D.P., G.H., H.S., U.S., S.J.);Botanical Institute and Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne Biocenter, 50674 Cologne, Germany (L.R., M.H); andMax Planck Institute for Plant Breeding Research, Cluster of Excellence on Plant Sciences (CEPLAS), 50829 Cologne, Germany (L.R., M.K.).
Plant Physiol. 2015 Dec;169(4):2359-70. doi: 10.1104/pp.15.00974. Epub 2015 Oct 14.
Precise measurements of leaf vein traits are an important aspect of plant phenotyping for ecological and genetic research. Here, we present a powerful and user-friendly image analysis tool named phenoVein. It is dedicated to automated segmenting and analyzing of leaf veins in images acquired with different imaging modalities (microscope, macrophotography, etc.), including options for comfortable manual correction. Advanced image filtering emphasizes veins from the background and compensates for local brightness inhomogeneities. The most important traits being calculated are total vein length, vein density, piecewise vein lengths and widths, areole area, and skeleton graph statistics, like the number of branching or ending points. For the determination of vein widths, a model-based vein edge estimation approach has been implemented. Validation was performed for the measurement of vein length, vein width, and vein density of Arabidopsis (Arabidopsis thaliana), proving the reliability of phenoVein. We demonstrate the power of phenoVein on a set of previously described vein structure mutants of Arabidopsis (hemivenata, ondulata3, and asymmetric leaves2-101) compared with wild-type accessions Columbia-0 and Landsberg erecta-0. phenoVein is freely available as open-source software.
精确测量叶脉特征是植物表型分析在生态和遗传研究中的一个重要方面。在此，我们展示了一款功能强大且用户友好的图像分析工具——phenoVein。它致力于对通过不同成像方式（显微镜、宏观摄影等）获取的图像中的叶脉进行自动分割和分析，还提供了便于手动校正的选项。先进的图像滤波突出了背景中的叶脉，并补偿了局部亮度不均匀性。所计算的最重要的特征包括叶脉总长度、叶脉密度、分段叶脉长度和宽度、小叶面积以及骨架图统计数据，如分支点或端点的数量。为了确定叶脉宽度，已实施了一种基于模型的叶脉边缘估计方法。对拟南芥（Arabidopsis thaliana）的叶脉长度、叶脉宽度和叶脉密度测量进行了验证，证明了phenoVein的可靠性。与野生型种质哥伦比亚-0和直立叶兰茨贝格-0相比，我们展示了phenoVein在一组先前描述的拟南芥叶脉结构突变体（hemivenata、ondulata3和不对称叶2-101）上的强大功能。phenoVein作为开源软件可免费获取。
