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High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

机译:基于台盼蓝染色和数字图像分析的高通量叶尺度病害检测和定量方法

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摘要

Overview of the lesion detection and quantification method. There are two main steps (1) damage detection and visualisation by clearing and staining and subsequent microscopy verification of staining (scale bar 50 µm) and image acquisition; and (2) damage quantification using the LiMu image analysis program. LiMu program results were (3) evaluated by comparing them against results acquired with IMAGEJ software and manual assessment, and validated with IMAGEJ results, followed by (4) application of the method on an experimental dataset
机译:病变检测和量化方法概述。主要有两个步骤(1)通过清除和染色来检测损伤并进行可视化,然后进行显微镜检查以确认染色(比例尺50μm)和图像采集; (2)使用LiMu图像分析程序对损害进行量化。对LiMu程序的结果进行了评估(3),将其与通过IMAGEJ软件获得的结果和手动评估的结果进行比较,然后通过IMAGEJ的结果进行验证,然后(4)在实验数据集上应用该方法

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