Deep-learning-based image registration for nano-resolution tomographic reconstruction
Nano-resolution full-field transmission X-ray microscopy has been successfully applied to a wide range of research fields thanks to its capability of non-destructively reconstructing the 3D structure with high resolution. Due to constraints in the practical implementations, the nano-tomography data...
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Bibliographische Detailangaben
| Veröffentlicht in: | Journal of synchrotron radiation. - 1994. - 28(2021), Pt 6 vom: 01. Nov., Seite 1909-1915
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| 1. Verfasser: |
Fu, Tianyu
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Kai,
Wang, Yan,
Li, Jizhou,
Zhang, Jin,
Yao, Chunxia,
He, Qili,
Wang, Shanfeng,
Huang, Wanxia,
Yuan, Qingxi,
Pianetta, Piero,
Liu, Yijin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | Journal of synchrotron radiation
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| Schlagworte: | Journal Article
deep learning
full-field transmission X-ray microscopy
image registration
nano-tomography
residual neural network |
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