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Deep reinforcement learning for data-driven adaptive scanning in ptychography
We present a method that lowers the dose required for an electron ptychographic reconstruction by adaptively scanning the specimen, thereby providing the required spatial information redundancy in the regions of highest importance. The proposed method is built upon a deep learning model that is trai...
Autores principales: | Schloz, Marcel, Müller, Johannes, Pekin, Thomas C., Van den Broek, Wouter, Madsen, Jacob, Susi, Toma, Koch, Christoph T. |
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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/PMC10229550/ https://www.ncbi.nlm.nih.gov/pubmed/37253763 http://dx.doi.org/10.1038/s41598-023-35740-1 |
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