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Deep learning for high-resolution and high-sensitivity interferometric phase contrast imaging
In Talbot-Lau interferometry, the sample position yielding the highest phase sensitivity suffers from strong geometric blur. This trade-off between phase-sensitivity and spatial resolution is a fundamental challenge in such interferometric imaging applications with either neutron or conventional x-r...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303191/ https://www.ncbi.nlm.nih.gov/pubmed/32555276 http://dx.doi.org/10.1038/s41598-020-66690-7 |