ROI-Finder: machine learning to guide region-of-interest scanning for X-ray fluorescence microscopy

The microscopy research at the Bionanoprobe (currently at beamline 9-ID and later 2-ID after APS-U) of Argonne National Laboratory focuses on applying synchrotron X-ray fluorescence (XRF) techniques to obtain trace elemental mappings of cryogenic biological samples to gain insights about their role...

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Detalles Bibliográficos
Autores principales: Chowdhury, M. A. Z., Ok, K., Luo, Y., Liu, Z., Chen, S., O’Halloran, T. V., Kettimuthu, R., Tekawade, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Computer Programs
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641565/
https://www.ncbi.nlm.nih.gov/pubmed/36345757
http://dx.doi.org/10.1107/S1600577522008876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641565/
https://www.ncbi.nlm.nih.gov/pubmed/36345757
http://dx.doi.org/10.1107/S1600577522008876

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