Advanced imaging techniques for the study of plant growth and development

被引：48

作者：

Sozzani, Rosangela ^{[1
]}

Busch, Wolfgang ^{[2
]}

Spalding, Edgar P. ^{[3
]}

Benfey, Philip N. ^{[4
]}

机构：

[1] N Carolina State Univ, Dept Plant & Microbial Biol, Raleigh, NC 27695 USA

[2] Austrian Acad Sci, Gregor Mendel Inst Mol Plant Biol, A-1030 Vienna, Austria

[3] Univ Wisconsin, Dept Bot, Madison, WI 53706 USA

[4] Duke Univ, Duke Ctr Syst Biol, Dept Biol, Durham, NC 27708 USA

来源：

TRENDS IN PLANT SCIENCE | 2014年 / 19卷 / 05期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

imaging techniques; plant growth and development; systems-level modeling; ARABIDOPSIS-THALIANA; AUXIN TRANSPORT; ROOT-GROWTH; AUTOMATIC QUANTIFICATION; HYPOCOTYL GROWTH; CELL DIVISIONS; MACHINE VISION; PLATFORM; SOFTWARE; DYNAMICS;

D O I：

10.1016/j.tplants.2013.12.003

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

A variety of imaging methodologies are being used to collect data for quantitative studies of plant growth and development from living plants. Multi-level data, from macroscopic to molecular, and from weeks to seconds, can be acquired. Furthermore, advances in parallelized and automated image acquisition enable the throughput to capture images from large populations of plants under specific growth conditions. Image-processing capabilities allow for 3D or 4D reconstruction of image data and automated quantification of biological features. These advances facilitate the integration of imaging data with genome-wide molecular data to enable systems-level modeling.

引用

页码：304 / 310

页数：7

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