An image processing and analysis tool for identifying and analysing complex plant root systems in 3D soil using non-destructive analysis: Root1

Title
An image processing and analysis tool for identifying and analysing complex plant root systems in 3D soil using non-destructive analysis: Root1
Publication Date
2017
Author(s)
Flavel, Richard
( author )
OrcID: https://orcid.org/0000-0001-7867-2104
Email: rflavel3@une.edu.au
UNE Id une-id:rflavel3
Guppy, Christopher
( author )
OrcID: https://orcid.org/0000-0001-7274-607X
Email: cguppy@une.edu.au
UNE Id une-id:cguppy
Rabbi, Sheikh M R
Young, Iain
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Public Library of Science
Place of publication
United States of America
DOI
10.1371/journal.pone.0176433
UNE publication id
une:23159
Abstract
The objective of this study was to develop a flexible and free image processing and analysis solution, based on the Public Domain ImageJ platform, for the segmentation and analysis of complex biological plant root systems in soil from x-ray tomography 3D images. Contrasting root architectures from wheat, barley and chickpea root systems were grown in soil and scanned using a high resolution micro-tomography system. A macro (Root1) was developed that reliably identified with good to high accuracy complex root systems (10% overestimation for chickpea, 1% underestimation for wheat, 8% underestimation for barley) and provided analysis of root length and angle. In-built flexibility allowed the user interaction to (a) amend any aspect of the macro to account for specific user preferences, and (b) take account of computational limitations of the platform. The platform is free, flexible and accurate in analysing root system metrics.
Link
Citation
PLoS One, 12(5), p. 1-18
ISSN
1932-6203
Start page
1
End page
18

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