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...

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Detalles Bibliográficos
Autores principales: Lee, Seho, Oh, Ohsung, Kim, Youngju, Kim, Daeseung, Hussey, Daniel S., Wang, Ge, Lee, Seung Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

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