Hostname: page-component-84b7d79bbc-g5fl4 Total loading time: 0 Render date: 2024-07-28T02:23:46.806Z Has data issue: false hasContentIssue false
  • English
  • Français

Resolution Versus Error for Computational Electron Microscopy

Published online by Cambridge University Press:  04 August 2017

Lorenzo Luzi ,
Andrew Stevens ,
Hao Yang  and
Nigel D. Browning
Lorenzo Luzi
Affiliation:
Pacific Northwest National Laboratory, Richland, WAUSA
Andrew Stevens
Affiliation:
Pacific Northwest National Laboratory, Richland, WAUSA Duke University, ECE, Durham, NCUSA
Hao Yang
Affiliation:
Lawrence Berkeley National Laboratory, Berkeley, CAUSA
Nigel D. Browning
Affiliation:
Pacific Northwest National Laboratory, Richland, WAUSA University of Washington, Materials Science and Engineering, Seattle, WAUSA

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
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 88 - 89
Copyright
© Microscopy Society of America 2017 

References

[1] Stevens, A, Yang, H, Carin, L, et al, Microscopy 63(1 2014). pp 41.Google Scholar
[2] Stevens, A, Kovarik, L, Abellan, P, et al, Advanced Structural and Chemical Imaging 1(1 2015). pp 1.Google Scholar
[3] Zhou, M, Chen, H, Paisley, J, et al, Image Processing, IEEE Transactions on 21(1 2012). pp 130.Google Scholar
[4] Liepin’sh, V. Y. Automatic control and computer sciences 30(3 1996). pp 20.Google Scholar
[5] Van Heel, M. & Schatz, M. Journal of structural biology 151(3 2005). pp 250.CrossRefGoogle Scholar
[6] Supported by the Chemical Imaging, Signature Discovery, and Analytics in Motion initiatives at PNNL. PNNL is operated by Battelle Memorial Inst. for the US DOE; contract DE-AC05-76RL01830.Google Scholar