Published in
Springer Nature [academic journals on nature.com], Light: Science and Applications, 1(12), 2023
DOI: 10.1038/s41377-023-01198-z
Links
Tools
Deep learning enables nanoscale X-ray 3D imaging with limited data
Journal article published in 2023 by
Chonghang Zhao 
,
Hanfei Yan
,
Hanfei Yan
This paper is made freely available by the publisher.
Full text: Download
Postprint:
archiving forbidden
Data provided by 
Abstract
AbstractDeep 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.