Lukas Muller
Root gravitropism: quantification, challenges, and solutions
Muller, Lukas; Bennett, Malcolm J.; French, Andy; Wells, Darren M.; Swarup, Ranjan
Authors
MALCOLM BENNETT malcolm.bennett@nottingham.ac.uk
Professor of Plant Science
ANDREW FRENCH andrew.p.french@nottingham.ac.uk
Professor of Computer Science
DARREN WELLS DARREN.WELLS@NOTTINGHAM.AC.UK
Principal Research Fellow
RANJAN SWARUP RANJAN.SWARUP@NOTTINGHAM.AC.UK
Associate Professor
Abstract
© 2018, Springer Science+Business Media, LLC. Better understanding of root traits such as root angle and root gravitropism will be crucial for development of crops with improved resource use efficiency. This chapter describes a high-throughput, automated image analysis method to trace Arabidopsis (Arabidopsis thaliana) seedling roots grown on agar plates. The method combines a “particle-filtering algorithm with a graph-based method” to trace the center line of a root and can be adopted for the analysis of several root parameters such as length, curvature, and stimulus from original root traces.
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 8, 2018 |
Online Publication Date | Mar 11, 2018 |
Publication Date | Jan 1, 2018 |
Deposit Date | Jul 13, 2018 |
Publicly Available Date | Jan 2, 2019 |
Journal | Methods in Molecular Biology |
Electronic ISSN | 1940-6029 |
Peer Reviewed | Peer Reviewed |
Volume | 1761 |
Pages | 103-112 |
Book Title | Root Development |
DOI | https://doi.org/10.1007/978-1-4939-7747-5_8 |
Keywords | Root gravitropism, RooTrace, Image analysis, Arabidopsis |
Public URL | https://nottingham-repository.worktribe.com/output/919674 |
Publisher URL | https://link.springer.com/protocol/10.1007%2F978-1-4939-7747-5_8 |
Files
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