RapidEELS: machine learning for denoising and classification in rapid acquisition electron energy loss spectroscopy

Recent advances in detectors for imaging and spectroscopy have afforded in situ, rapid acquisition of hyperspectral data. While electron energy loss spectroscopy (EELS) data acquisition speeds with electron counting are regularly reaching 400 frames per second with near-zero read noise, signal to no...

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Detalles Bibliográficos
Autores principales: Pate, Cassandra M., Hart, James L., Taheri, Mitra L.
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/PMC8484590/
https://www.ncbi.nlm.nih.gov/pubmed/34593833
http://dx.doi.org/10.1038/s41598-021-97668-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484590/
https://www.ncbi.nlm.nih.gov/pubmed/34593833
http://dx.doi.org/10.1038/s41598-021-97668-8

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