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

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 ima...

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Detalles Bibliográficos
Autores principales: Zhao, Chonghang, Yan, Hanfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
News & Views
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300076/
https://www.ncbi.nlm.nih.gov/pubmed/37369649
http://dx.doi.org/10.1038/s41377-023-01198-z
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author Zhao, Chonghang
Yan, Hanfei
author_facet Zhao, Chonghang
Yan, Hanfei
author_sort Zhao, Chonghang
collection PubMed
description 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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spelling pubmed-103000762023-06-29 Deep learning enables nanoscale X-ray 3D imaging with limited data Zhao, Chonghang Yan, Hanfei Light Sci Appl News & Views 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. Nature Publishing Group UK 2023-06-27 /pmc/articles/PMC10300076/ /pubmed/37369649 http://dx.doi.org/10.1038/s41377-023-01198-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle News & Views
Zhao, Chonghang
Yan, Hanfei
Deep learning enables nanoscale X-ray 3D imaging with limited data
title Deep learning enables nanoscale X-ray 3D imaging with limited data
title_full Deep learning enables nanoscale X-ray 3D imaging with limited data
title_fullStr Deep learning enables nanoscale X-ray 3D imaging with limited data
title_full_unstemmed Deep learning enables nanoscale X-ray 3D imaging with limited data
title_short Deep learning enables nanoscale X-ray 3D imaging with limited data
title_sort deep learning enables nanoscale x-ray 3d imaging with limited data
topic News & Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300076/
https://www.ncbi.nlm.nih.gov/pubmed/37369649
http://dx.doi.org/10.1038/s41377-023-01198-z
work_keys_str_mv AT zhaochonghang deeplearningenablesnanoscalexray3dimagingwithlimiteddata
AT yanhanfei deeplearningenablesnanoscalexray3dimagingwithlimiteddata

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