Hostname: page-component-848d4c4894-jbqgn Total loading time: 0 Render date: 2024-06-30T21:52:10.286Z Has data issue: false hasContentIssue false
  • English
  • Français

Noise Reconstruction and Removal Network: a New Way to Denoise FIB-SEM Image

Published online by Cambridge University Press:  22 July 2022

Katya Giannios ,
Abhishek Chaurasia ,
Guillaume Thibault ,
Jessica L. Riesterer ,
Erin S. Stempinski ,
Terence P. Lo ,
Bambi DeLaRosa  and
Joe W. Gray
Katya Giannios
Affiliation:
Micron Technology, Inc, Advanced Computing and Emerging Memory Solutions, Boise, ID, United States
Abhishek Chaurasia
Affiliation:
Micron Technology, Inc, Advanced Computing and Emerging Memory Solutions, Boise, ID, United States
Guillaume Thibault*
Affiliation:
Dept. of Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States Knight Cancer Institute, Oregon Health & Science University, Portland, OR, United States
Jessica L. Riesterer
Affiliation:
Dept. of Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States Multiscale Microscopy Core, Oregon Health & Science University, Portland, OR, United States Knight Cancer Institute, Oregon Health & Science University, Portland, OR, United States
Erin S. Stempinski
Affiliation:
Dept. of Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States Multiscale Microscopy Core, Oregon Health & Science University, Portland, OR, United States
Terence P. Lo
Affiliation:
Knight Cancer Institute, Oregon Health & Science University, Portland, OR, United States
Bambi DeLaRosa*
Affiliation:
Micron Technology, Inc, Advanced Computing and Emerging Memory Solutions, Boise, ID, United States
Joe W. Gray
Affiliation:
Dept. of Biomedical Engineering, Oregon Health & Science University, Portland, OR, United States Knight Cancer Institute, Oregon Health & Science University, Portland, OR, United States
*
*Corresponding author: [email protected], [email protected]
*Corresponding author: [email protected], [email protected]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
3D Volume Electron Microscopy in Biology Research
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 1506 - 1508
Check for updates
Copyright
Copyright © Microscopy Society of America 2022

References

Xu, CS et al. , Elife 6 (2017), p. e25916.Google Scholar
Redmon, J and Farhadi, A, arXiv preprint (2018), arXiv:1804.02767.Google Scholar
Tan, M, Pang, R and Le, QV, Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (2020).Google Scholar
Sun, W and Chen, Z, IEEE Transactions on Image Processing, 29 (2020), p. 4027.CrossRefGoogle Scholar
Chen, L-C et al. , Advances in neural information processing systems (2017).Google Scholar
Ronneberger, O, Fischer, P and Brox, T, arXiv e-prints (2015), arXiv:1505.04597.Google Scholar
Tao, A, Sapra, K and Catanzaro, B, arXiv preprint (2020), arXiv:2005.10821.Google Scholar
Kim, D-W, Chung, JR and Jung, S-W, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2019).Google Scholar
Liu, J et al. , Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (2019).Google Scholar
Yu, S, Park, B and Jeong, J, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2019).Google Scholar
Shi, X, et al. , arXiv e-prints (2015), arXiv:1506.04214.Google Scholar
Cho, K, et al. , arXiv preprint (2014), arXiv:1406.1078.Google Scholar
Wu, D, et al. , arXiv e-prints (2019), arXiv:1906.03639.Google Scholar
Remez, T., et al. , arXiv e-prints (2017), arXiv:1701.01698.Google Scholar
Remez, T. et al. , IEEE Transactions on Image Processing 27 (2018), p. 5707.CrossRefGoogle Scholar