Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects
Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects
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DOI：
10.1104/pp.112.202762
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发表时间：
2012-11-01
期刊：
影响因子：
7.4
通讯作者：
Van Der Straeten, Dominique
中科院分区：
文献类型：
--
作者：
De Vylder, Jonas;Vandenbussche, Filip;Van Der Straeten, Dominique
拟南芥（Arabidopsis thaliana）莲座图像分析是研究植物生长的一种重要的无损方法。过去已经提出了一些使用图像分析的自动玫瑰花结测量的工作，但通常仅限于与特定的高通量监测系统结合使用。我们介绍了玫瑰跟踪器，一个新的开放源代码的图像分析工具，用于评估植物芽表型。该工具不受特定监控系统的限制，可以适应不同的低预算成像设置，并且需要最少的用户输入。与之前描述的监测工具相比，rossette Tracker允许我们通过分析视觉，叶绿素荧光和/或热红外时移序列同时量化植物生长，光合作用和叶温相关参数。免费提供，玫瑰跟踪器有助于快速了解拟南芥基因型效应。
Image analysis of Arabidopsis (Arabidopsis thaliana) rosettes is an important nondestructive method for studying plant growth. Some work on automatic rosette measurement using image analysis has been proposed in the past but is generally restricted to be used only in combination with specific high-throughput monitoring systems. We introduce Rosette Tracker, a new open source image analysis tool for evaluation of plant-shoot phenotypes. This tool is not constrained by one specific monitoring system, can be adapted to different low-budget imaging setups, and requires minimal user input. In contrast with previously described monitoring tools, Rosette Tracker allows us to simultaneously quantify plant growth, photosynthesis, and leaf temperature-related parameters through the analysis of visual, chlorophyll fluorescence, and/or thermal infrared time-lapse sequences. Freely available, Rosette Tracker facilitates the rapid understanding of Arabidopsis genotype effects.