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Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
Modern scanning microscopes can image materials with up to sub-atomic spatial and sub-picosecond time resolutions, but these capabilities come with large volumes of data, which can be difficult to store and analyze. We report the Fast Autonomous Scanning Toolkit (FAST) that addresses this challenge...
Autores principales: | Kandel, Saugat, Zhou, Tao, Babu, Anakha V., Di, Zichao, Li, Xinxin, Ma, Xuedan, Holt, Martin, Miceli, Antonino, Phatak, Charudatta, Cherukara, Mathew J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485018/ https://www.ncbi.nlm.nih.gov/pubmed/37679317 http://dx.doi.org/10.1038/s41467-023-40339-1 |
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