期刊
JOURNAL OF EXPERIMENTAL BOTANY
卷 66, 期 16, 页码 4947-4955出版社
OXFORD UNIV PRESS
DOI: 10.1093/jxb/erv265
关键词
Image analysis; imaging; machine vision; phenomics; phenotyping; plant hormone physiology; signal transduction networks
资金
- Appuhn-Stiftung
In an era of genomics, proteomics, and metabolomics a large number of mutants are available. The discovery of their phenotypes is fast becoming the bottleneck of molecular plant physiology. This crisis can be overcome by imagingbased phenotyping, an emerging, rapidly developing and innovative approach integrating plant and computer science. A tremendous amount of digital image data are automatically analysed using techniques of 'machine vision'. This minireview will shed light on the available imaging strategies and discuss standard methods for the automated analysis of images to give the non-bioinformatic reader an idea how the new technology works. A number of successful platforms will be described and the prospects that image-based phenomics may offer for elucidating hormonal cross-talk and molecular growth physiology will be discussed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据