Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography
Abstract Non-invasive multi-scale and multimodal 3D characterization of heterogeneous or hierarchically structured intact mesoscale samples is of paramount importance in tackling challenging scientific problems. Scanning hard X-ray tomography techniques providing simultaneous complementary 3D inform...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-21368-0 |
| _version_ | 1797996083086884864 |
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| author | Ruiqiao Guo Andrea Somogyi Dominique Bazin Elise Bouderlique Emmanuel Letavernier Catherine Curie Marie-Pierre Isaure Kadda Medjoubi |
| author_facet | Ruiqiao Guo Andrea Somogyi Dominique Bazin Elise Bouderlique Emmanuel Letavernier Catherine Curie Marie-Pierre Isaure Kadda Medjoubi |
| author_sort | Ruiqiao Guo |
| collection | DOAJ |
| description | Abstract Non-invasive multi-scale and multimodal 3D characterization of heterogeneous or hierarchically structured intact mesoscale samples is of paramount importance in tackling challenging scientific problems. Scanning hard X-ray tomography techniques providing simultaneous complementary 3D information are ideally suited to such studies. However, the implementation of a robust on-site workflow remains the bottleneck for the widespread application of these powerful multimodal tomography methods. In this paper, we describe the development and implementation of such a robust, holistic workflow, including semi-automatic data reconstruction. Due to its flexibility, our approach is especially well suited for on-the-fly tuning of the experiments to study features of interest progressively at different length scales. To demonstrate the performance of the method, we studied, across multiple length scales, the elemental abundances and morphology of two complex biological systems, Arabidopsis plant seeds and mouse renal papilla samples. The proposed approach opens the way towards routine multimodal 3D characterization of intact samples by providing relevant information from pertinent sample regions in a wide range of scientific fields such as biology, geology, and material sciences. |
| first_indexed | 2024-04-11T10:10:47Z |
| format | Article |
| id | doaj.art-81e001862792474b99500b139e10e425 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T10:10:47Z |
| publishDate | 2022-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-81e001862792474b99500b139e10e4252022-12-22T04:30:06ZengNature PortfolioScientific Reports2045-23222022-10-0112111410.1038/s41598-022-21368-0Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomographyRuiqiao Guo0Andrea Somogyi1Dominique Bazin2Elise Bouderlique3Emmanuel Letavernier4Catherine Curie5Marie-Pierre Isaure6Kadda Medjoubi7Synchrotron SOLEILSynchrotron SOLEILInstitut de Chimie Physique, Université Paris-Saclay, CNRSUMR S 1155, Sorbonne UniversitéUMR S 1155, Sorbonne UniversitéIPSiM, Univ Montpellier, CNRS, INRAE, Institut AgroIPREM, Université de Pau Et Pays de l’Adour, E2S UPPA, CNRSSynchrotron SOLEILAbstract Non-invasive multi-scale and multimodal 3D characterization of heterogeneous or hierarchically structured intact mesoscale samples is of paramount importance in tackling challenging scientific problems. Scanning hard X-ray tomography techniques providing simultaneous complementary 3D information are ideally suited to such studies. However, the implementation of a robust on-site workflow remains the bottleneck for the widespread application of these powerful multimodal tomography methods. In this paper, we describe the development and implementation of such a robust, holistic workflow, including semi-automatic data reconstruction. Due to its flexibility, our approach is especially well suited for on-the-fly tuning of the experiments to study features of interest progressively at different length scales. To demonstrate the performance of the method, we studied, across multiple length scales, the elemental abundances and morphology of two complex biological systems, Arabidopsis plant seeds and mouse renal papilla samples. The proposed approach opens the way towards routine multimodal 3D characterization of intact samples by providing relevant information from pertinent sample regions in a wide range of scientific fields such as biology, geology, and material sciences.https://doi.org/10.1038/s41598-022-21368-0 |
| spellingShingle | Ruiqiao Guo Andrea Somogyi Dominique Bazin Elise Bouderlique Emmanuel Letavernier Catherine Curie Marie-Pierre Isaure Kadda Medjoubi Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography Scientific Reports |
| title | Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography |
| title_full | Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography |
| title_fullStr | Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography |
| title_full_unstemmed | Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography |
| title_short | Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography |
| title_sort | towards routine 3d characterization of intact mesoscale samples by multi scale and multimodal scanning x ray tomography |
| url | https://doi.org/10.1038/s41598-022-21368-0 |
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