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Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging

Synchrotron X-ray computed tomography (XCT) has been increasingly applied to study the in vivo dynamics of root growth and rhizosphere processes. However, minimizing radiation-induced damage to root growth warrants further investigation. Our objective was to develop a robust approach for modeling an...

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Autores principales: Moraes, Isabela C., Hesterberg, Dean, Bacchim Neto, Fernando A., Archilha, Nathaly L., Pérez, Carlos A., Araújo, Maria Victória A., Ferreira, Talita R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079845/
https://www.ncbi.nlm.nih.gov/pubmed/37024527
http://dx.doi.org/10.1038/s41598-023-32540-5
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author Moraes, Isabela C.
Hesterberg, Dean
Bacchim Neto, Fernando A.
Archilha, Nathaly L.
Pérez, Carlos A.
Araújo, Maria Victória A.
Ferreira, Talita R.
author_facet Moraes, Isabela C.
Hesterberg, Dean
Bacchim Neto, Fernando A.
Archilha, Nathaly L.
Pérez, Carlos A.
Araújo, Maria Victória A.
Ferreira, Talita R.
author_sort Moraes, Isabela C.
collection PubMed
description Synchrotron X-ray computed tomography (XCT) has been increasingly applied to study the in vivo dynamics of root growth and rhizosphere processes. However, minimizing radiation-induced damage to root growth warrants further investigation. Our objective was to develop a robust approach for modeling and evaluating ways to reduce synchrotron X-ray dose effects on root growth during in vivo imaging. Wheat roots growing in soil were exposed to X-rays during XCT experiments resolved in space (3D) plus time (4D). The dose rate and cumulative absorbed dose in roots were modelled using the Monte Carlo code FLUKA for different experimental conditions of polychromatic and quasi-monochromatic X-ray beam configurations. The most impactful factors affecting damage to roots were incident X-ray energy spectrum, stored current in the accelerator machine, position of the root in the soil, and possibly the number of exposures during the 4D XCT experiments. Our results imply that radiation dose during in vivo imaging of plant roots can be diminished by using monochromatic radiation at the highest energy suitable for a given sample thickness and field of view, and by controlling the rotation axis of off-centered roots to increase attenuation of radiation by the soil matrix.
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spelling pubmed-100798452023-04-08 Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging Moraes, Isabela C. Hesterberg, Dean Bacchim Neto, Fernando A. Archilha, Nathaly L. Pérez, Carlos A. Araújo, Maria Victória A. Ferreira, Talita R. Sci Rep Article Synchrotron X-ray computed tomography (XCT) has been increasingly applied to study the in vivo dynamics of root growth and rhizosphere processes. However, minimizing radiation-induced damage to root growth warrants further investigation. Our objective was to develop a robust approach for modeling and evaluating ways to reduce synchrotron X-ray dose effects on root growth during in vivo imaging. Wheat roots growing in soil were exposed to X-rays during XCT experiments resolved in space (3D) plus time (4D). The dose rate and cumulative absorbed dose in roots were modelled using the Monte Carlo code FLUKA for different experimental conditions of polychromatic and quasi-monochromatic X-ray beam configurations. The most impactful factors affecting damage to roots were incident X-ray energy spectrum, stored current in the accelerator machine, position of the root in the soil, and possibly the number of exposures during the 4D XCT experiments. Our results imply that radiation dose during in vivo imaging of plant roots can be diminished by using monochromatic radiation at the highest energy suitable for a given sample thickness and field of view, and by controlling the rotation axis of off-centered roots to increase attenuation of radiation by the soil matrix. Nature Publishing Group UK 2023-04-06 /pmc/articles/PMC10079845/ /pubmed/37024527 http://dx.doi.org/10.1038/s41598-023-32540-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Moraes, Isabela C.
Hesterberg, Dean
Bacchim Neto, Fernando A.
Archilha, Nathaly L.
Pérez, Carlos A.
Araújo, Maria Victória A.
Ferreira, Talita R.
Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging
title Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging
title_full Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging
title_fullStr Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging
title_full_unstemmed Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging
title_short Monte Carlo simulations of synchrotron X-ray dose affecting root growth during in vivo tomographic imaging
title_sort monte carlo simulations of synchrotron x-ray dose affecting root growth during in vivo tomographic imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079845/
https://www.ncbi.nlm.nih.gov/pubmed/37024527
http://dx.doi.org/10.1038/s41598-023-32540-5
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