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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Updated: Aug 26, 2025

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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4DRoot: Root phenotyping software for temporal 3D scans by X-ray computed tomography.

Monica Herrero-Huerta1, Pasi Raumonen2, Diego Gonzalez-Aguilera1

  • 1Department of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, Universidad de Salamanca, Ávila, Spain.

Frontiers in Plant Science
|October 10, 2022
PubMed
Summary
This summary is machine-generated.

A new software tool, 4DRoot, uses 4D X-ray CT scans to model plant root architecture. This enables high-throughput phenotyping, aiding breeders in improving crop yield and carbon sequestration.

Keywords:
3D modelingX-ray computed tomographyimagingproximal sensingroot phenotyping

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Area of Science:

  • Plant science
  • Biotechnology
  • Computational biology

Background:

  • Plant phenomics is crucial for understanding genotype-phenotype relationships in plant breeding.
  • X-ray computed tomography (CT) offers noninvasive 3D root imaging but requires high-throughput analysis for complex traits.
  • Existing methods lack efficiency for detailed temporal root architectural studies.

Purpose of the Study:

  • To develop a high-throughput software tool for spatial-temporal root architectural modeling using 4D X-ray CT data.
  • To enable automated extraction of key root traits for improved plant phenotyping.
  • To provide a resource for quantifying carbon sequestration and enhancing crop breeding.

Main Methods:

  • Development of 4DRoot, an open-source MATLAB-based software tool.
  • Utilizing temporal X-ray CT scans to capture 4D root data.
  • Implementing cylinder fitting algorithms for automated trait extraction, distribution, and hierarchy analysis.

Main Results:

  • Successful analysis of 3D and temporal root scans from black walnut trees.
  • Automated extraction of significant root architectural traits.
  • Demonstration of 4DRoot's capability for objective quantification of root traits.

Conclusions:

  • 4DRoot provides an objective and efficient tool for plant breeders and root biologists.
  • The software facilitates the quantification of carbon sequestration potential through root trait analysis.
  • 4DRoot can contribute to developing improved plant varieties for future food, fuel, and fiber demands.