RootGraph: a graphic optimization tool for automated image analysis of plant roots.
RootGraph: a graphic optimization tool for automated image analysis of plant roots.
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DOI：
10.1093/jxb/erv359
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发表时间：
2015-11
影响因子：
6.9
通讯作者：
Miklavcic SJ
中科院分区：
文献类型：
--
作者：
Cai J;Zeng Z;Connor JN;Huang CY;Melino V;Kumar P;Miklavcic SJ
该方法自动分析根扫描，区分主根和侧根，并量化了单个主根及其相关侧根的广泛性状。本文概述了一个精确的，详细的，高通量的植物根系图像分析的数值方案。对比现有的根系图像分析工具，专注于根系平均性状，一种新的，全自动化和强大的方法，详细表征根性状，基于图优化过程。该计划，首先，区分主根侧根，其次，量化了广泛的根性状为每个确定的主根和侧根。第三，它将侧根及其特性与产生植物的特定主根联系起来。通过与其他自动化和半自动化软件解决方案以及基于手动测量的结果进行比较，对这种方法的性能进行了评估。该算法的比较和随后的应用程序的一系列实验数据表明，该方法优于现有的方法的准确性，鲁棒性，并在高吞吐量条件下处理根图像的能力。
The method presented analyses root scans automatically, distinguishes primary from lateral roots, and quantifies a broad range of traits for individual primary roots and their associated lateral roots. This paper outlines a numerical scheme for accurate, detailed, and high-throughput image analysis of plant roots. In contrast to existing root image analysis tools that focus on root system-average traits, a novel, fully automated and robust approach for the detailed characterization of root traits, based on a graph optimization process is presented. The scheme, firstly, distinguishes primary roots from lateral roots and, secondly, quantifies a broad spectrum of root traits for each identified primary and lateral root. Thirdly, it associates lateral roots and their properties with the specific primary root from which the laterals emerge. The performance of this approach was evaluated through comparisons with other automated and semi-automated software solutions as well as against results based on manual measurements. The comparisons and subsequent application of the algorithm to an array of experimental data demonstrate that this method outperforms existing methods in terms of accuracy, robustness, and the ability to process root images under high-throughput conditions.