Deep learning enables nanoscale X-ray 3D imaging with limited data

Chonghang Zhao; Hanfei Yan

doi:10.1038/s41377-023-01198-z

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Deep learning enables nanoscale X-ray 3D imaging with limited data

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- Deep learning enables nanoscale X-ray 3D imaging with limited data
- Deep learning enables nanoscale X-ray 3D imaging with limited data
- LSA 2023年12卷第7期页码：1184-1186
- Affiliations：
  
  National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY 11973, USA
- Author bio：
  
  Hanfei Yan (hyan@bnl.gov)
- Funds：
- DOI：10.1038/s41377-023-01198-z
  中图分类号：
- 纸质出版日期：2023-07-31，
  
  网络出版日期：2023-06-27，
- Accepted：
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Deep learning enables nanoscale X-ray 3D imaging with limited data[J]. LSA, 2023,12(7):1184-1186.

Zhao, C. H. & Yan, H. F. Deep learning enables nanoscale X-ray 3D imaging with limited data. Light: Science & Applications, 12, 1184-1186 (2023).
Deep learning enables nanoscale X-ray 3D imaging with limited data[J]. LSA, 2023,12(7):1184-1186. DOI： 10.1038/s41377-023-01198-z.

Zhao, C. H. & Yan, H. F. Deep learning enables nanoscale X-ray 3D imaging with limited data. Light: Science & Applications, 12, 1184-1186 (2023). DOI： 10.1038/s41377-023-01198-z.

摘要

Abstract

Deep neural network can greatly improve tomography reconstruction with limited data. A recent effort of combining ptycho-tomography model with the 3D U-net demonstrated a significant reduction in both the number of projections and computation time

and showed its potential for integrated circuit imaging that requires high-resolution and fast measurement speed.

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Keywords

references

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