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

PLoS One

Sydney Institute of Agriculture, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.

Published: September 2017

AI Article Synopsis

  • The study aimed to create a free and adaptable image processing solution using the ImageJ platform for analyzing complex plant root systems in 3D from x-ray tomography.
  • It successfully developed a macro (Root1) that accurately segmented and analyzed root systems of wheat, barley, and chickpeas, with minor estimation errors.
  • The solution allows users to customize the macro to fit their specific needs while also considering the limitations of the computational platform.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415168PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0176433PLOS

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