Cargando…
Partial Scanning Transmission Electron Microscopy with Deep Learning
Compressed sensing algorithms are used to decrease electron microscope scan time and electron beam exposure with minimal information loss. Following successful applications of deep learning to compressed sensing, we have developed a two-stage multiscale generative adversarial neural network to compl...
Autores principales: | Ede, Jeffrey M., Beanland, Richard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239858/ https://www.ncbi.nlm.nih.gov/pubmed/32433582 http://dx.doi.org/10.1038/s41598-020-65261-0 |
Ejemplares similares
-
Resolution enhancement in scanning electron microscopy using deep learning
por: de Haan, Kevin, et al.
Publicado: (2019) -
Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy
por: Ihara, Shiro, et al.
Publicado: (2022) -
Transmission and scanning electron microscopy of cutis rhomboidalis()()
por: Torre, Ângela Faistauer, et al.
Publicado: (2021) -
In Situ Scanning Transmission Electron Microscopy
Study of MoS(2) Formation on Graphene with a Deep-Learning
Framework
por: Lee, Yeongdong, et al.
Publicado: (2021) -
Electron
Beam Transparent Boron Doped Diamond Electrodes
for Combined Electrochemistry—Transmission Electron Microscopy
por: Hussein, Haytham E. M., et al.
Publicado: (2022)