Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects

被引：105

作者：

De Vylder, Jonas ^{[2
]}

Vandenbussche, Filip ^{[1
]}

Hu, Yuming ^{[1
]}

Philips, Wilfried ^{[2
]}

Van Der Straeten, Dominique ^{[1
]}

机构：

[1] Univ Ghent, Dept Physiol, B-9000 Ghent, Belgium

[2] Univ Ghent, Dept Telecommun & Informat Proc, B-9000 Ghent, Belgium

来源：

PLANT PHYSIOLOGY | 2012年 / 160卷 / 03期

基金：

比利时弗兰德研究基金会;

关键词：

SCREENING PLANT-POPULATIONS; CHLOROPHYLL-FLUORESCENCE; ARABIDOPSIS-THALIANA; QUANTITATIVE-ANALYSIS; GROWTH; SEGMENTATION; GROWSCREEN; VEGETATION; FRAMEWORK; PATTERNS;

D O I：

10.1104/pp.112.202762

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

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.

引用

页码：1149 / 1159

页数：11

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