Integrating scanning X-ray scattering and fluorescence for multi-scale analysis of seed structure supported by machine learning tools.
- DOI
- 10.1186/s13007-026-01585-8
- Published
- 2026 Sep 1
- Container
- Plant methods
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s13007-026-01585-8,
title = {Integrating scanning X-ray scattering and fluorescence for multi-scale analysis of seed structure supported by machine learning tools.},
author = {Merten L and Lotze G and Ahmad M and Roosen-Runge F},
year = {2026},
journal = {Plant methods},
doi = {10.1186/s13007-026-01585-8},
url = {https://doi.org/10.1186/s13007-026-01585-8}
}RIS
TY - JOUR TI - Integrating scanning X-ray scattering and fluorescence for multi-scale analysis of seed structure supported by machine learning tools. AU - Merten L AU - Lotze G AU - Ahmad M AU - Roosen-Runge F PY - 2026 JO - Plant methods DO - 10.1186/s13007-026-01585-8 UR - https://doi.org/10.1186/s13007-026-01585-8 ER -
APA
L, M., G, L., M, A., & F, R. (2026). Integrating scanning X-ray scattering and fluorescence for multi-scale analysis of seed structure supported by machine learning tools.. Plant methods. https://doi.org/10.1186/s13007-026-01585-8
Source records
- pubmed · retrieved 2026-09-25T23:53:27.708Z