The rhizodynamics robot: Automated imaging system for studying long-term dynamic root growth

Author:

Rajanala AradhyaORCID,Taylor Isaiah W.,McCaskey Erin,Pierce Christopher,Ligon Jason,Aydin Enes,Hunner Carrie,Carmichael Amanda,Eserman Lauren,Coffee Emily E. D.,Mijar AnupamORCID,Shah Milan,Benfey Philip N.,Goldman Daniel I.ORCID

Abstract

The study of plant root growth in real time has been difficult to achieve in an automated, high-throughput, and systematic fashion. Dynamic imaging of plant roots is important in order to discover novel root growth behaviors and to deepen our understanding of how roots interact with their environments. We designed and implemented the Generating Rhizodynamic Observations Over Time (GROOT) robot, an automated, high-throughput imaging system that enables time-lapse imaging of 90 containers of plants and their roots growing in a clear gel medium over the duration of weeks to months. The system uses low-cost, widely available materials. As a proof of concept, we employed GROOT to collect images of root growth of Oryza sativa, Hudsonia montana, and multiple species of orchids including Platanthera integrilabia over six months. Beyond imaging plant roots, our system is highly customizable and can be used to collect time- lapse image data of different container sizes and configurations regardless of what is being imaged, making it applicable to many fields that require longitudinal time-lapse recording.

Funder

National Science Foundation

Gordon and Betty Moore Foundation

John S. Dunn Foundation

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference27 articles.

1. Three-Dimensional Behavioral Phenotyping of freely moving C elegans using quantitative light field microscopy.;M. H. Shaw;PLOS ONE,2018

2. Functional imaging in freely moving animals.;1;Current Opinion in Neurobiology.,2012

3. Bioluminescent system for dynamic imaging of cell and animal behavior;C. Hara-Miyauchi;Biochemical and Biophysical Research,2012

4. Imaging in Systems Biology.;S.G. Megason;Cell,2007

5. Long-term time-lapse microscopy of C. elegans post-embryonic development;N. Gritti;Nature Communications,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3