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Super-compression of large electron microscopy time series by deep compressive sensing learning
The development of ultrafast detectors for electron microscopy (EM) opens a new door to exploring dynamics of nanomaterials; however, it raises grand challenges for big data processing and storage. Here, we combine deep learning and temporal compressive sensing (TCS) to propose a novel EM big data c...
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| Publicado no: | Patterns (N Y) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8276025/ https://ncbi.nlm.nih.gov/pubmed/34286306 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2021.100292 |
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