| Title |
Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds
|
|---|---|
| Published in |
Plant Methods, December 2015
|
| 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
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 5% |
| Unknown | 59 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Student > Master | 11 | 18% |
| Student > Ph. D. Student | 10 | 16% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 15% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 34% |
| Engineering | 8 | 13% |
| Physics and Astronomy | 5 | 8% |
| Materials Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 17 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2024.
All research outputs
#14,890,208
of 25,335,657 outputs
Outputs from Plant Methods
#681
of 1,254 outputs
Outputs of similar age
#197,319
of 401,435 outputs
Outputs of similar age from Plant Methods
#12
of 17 outputs
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