Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments-Reference-Cited by-同舟云学术

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Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments

Published:2024-01 Issue:1 Volume:5 Page:100539
ISSN:2666-6758
Container-title:The Innovation
language:en
Short-container-title:The Innovation

Author:

Zhang Zhen^ORCID,Li Chun,Wang Wenhui,Dong Zheng,Liu Gongfa,Dong Yuhui,Zhang Yi^ORCID

Funder

NSFC

Chinese Academy of Sciences

Chinese Academy of Sciences Hefei Science Center

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference145 articles.

1. Axonemal structures reveal mechanoregulatory and disease mechanisms;Walton;Nature,2023

2. Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale;Wu;Cell,2021

3. Synchrotron tomography of a stem lizard elucidates early squamate anatomy;Tałanda;Nature,2022

4. Cryo-ET of Env on intact HIV virions reveals structural variation and positioning on the Gag lattice;Mangala Prasad;Cell,2022

5. Cryo-EM structure of the human IgM B cell receptor;Su;Science,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Denoising an X-ray image by exploring the power of its physical symmetry;Journal of Applied Crystallography;2024-05-24

2. A step towards 6D WAXD tensor tomography;IUCrJ;2024-05-09

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