Deep learning based classification of dynamic processes in time-resolved X-ray tomographic microscopy

Time-resolved X-ray tomographic microscopy is an invaluable technique to investigate dynamic processes in 3D for extended time periods. Because of the limited signal-to-noise ratio caused by the short exposure times and sparse angular sampling frequency, obtaining quantitative information through po...

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Detalles Bibliográficos
Autores principales: Bührer, Minna, Xu, Hong, Hendriksen, Allard A., Büchi, Felix N., Eller, Jens, Stampanoni, Marco, Marone, Federica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683503/
https://www.ncbi.nlm.nih.gov/pubmed/34921184
http://dx.doi.org/10.1038/s41598-021-03546-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683503/
https://www.ncbi.nlm.nih.gov/pubmed/34921184
http://dx.doi.org/10.1038/s41598-021-03546-8

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