Title |
Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds
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Published in |
Plant Methods, December 2015
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DOI | 10.1186/s13007-015-0098-y |
Pubmed ID | |
Authors |
David Rousseau, Thomas Widiez, Sylvaine Di Tommaso, Hugo Rositi, Jerome Adrien, Eric Maire, Max Langer, Cécile Olivier, Françoise Peyrin, Peter Rogowsky |
Abstract |
Despite increasing demand, imaging the internal structure of plant organs or tissues without the use of transgenic lines expressing fluorescent proteins remains a challenge. Techniques such as magnetic resonance imaging, optical projection tomography or X-ray absorption tomography have been used with various success, depending on the size and physical properties of the biological material. X-ray in-line phase tomography was applied for the imaging of internal structures of maize seeds at early stages of development, when the cells are metabolically fully active and water is the main cell content. This 3D imaging technique with histology-like spatial resolution is demonstrated to reveal the anatomy of seed compartments with unequalled contrast by comparison with X-ray absorption tomography. An associated image processing pipeline allowed to quantitatively segment in 3D the four compartments of the seed (embryo, endosperm, nucellus and pericarp) from 7 to 21 days after pollination. This work constitutes an innovative quantitative use of X-ray in-line phase tomography as a non-destructive fast method to perform virtual histology and extends the developmental stages accessible by this technique which had previously been applied in seed biology to more mature samples. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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France | 3 | 5% |
Unknown | 61 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 11 | 17% |
Researcher | 11 | 17% |
Student > Master | 11 | 17% |
Student > Bachelor | 5 | 8% |
Student > Doctoral Student | 4 | 6% |
Other | 10 | 16% |
Unknown | 12 | 19% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 21 | 33% |
Engineering | 8 | 13% |
Physics and Astronomy | 6 | 9% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Materials Science | 3 | 5% |
Other | 6 | 9% |
Unknown | 17 | 27% |