Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-28T11:02:15.865Z Has data issue: false hasContentIssue false
  • English
  • Français

GENFIRE: A Generalized Fourier Iterative Reconstruction Algorithm for High-Resolution 3D Electron and X-ray Imaging

Published online by Cambridge University Press:  04 August 2017

Alan Pryor Jr. ,
Yongsoo Yang ,
Arjun Rana ,
Marcus Gallagher-Jones ,
Jihan Zhou ,
Yuan Hung Lo ,
Georgian Melinte ,
Jose A. Rodriguez  and
Jianwei Miao
Alan Pryor Jr.
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.
Yongsoo Yang
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.
Arjun Rana
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.
Marcus Gallagher-Jones
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.
Jihan Zhou
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.
Yuan Hung Lo
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.
Georgian Melinte
Affiliation:
Institut de Physique et Chimie des Materiaux de Strasbourg, CNRS-Universite de Strasbourg, Strasbourg, France.
Jose A. Rodriguez
Affiliation:
Department of Chemistry & Biochemistry, UCLA-DOE Institute of Genomics and Proteomics, Los Angeles, California, USA.
Jianwei Miao
Affiliation:
Department of Physics and Astronomy and California Nanosystems Institute, University of California Los Angeles, California, USA.

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. 128 - 129
Copyright
© Microscopy Society of America 2017 

References

[1] Kak, A. C. & Slaney, M. Principles of Computerized Tomographic Imaging. SIAM Philadelphia 2001.Google Scholar
[2] Miao, J., et al, Science 353 2016). p. aaf2157.Google Scholar
[3] Fernandez-Leiro, R. & Scheres, S. H. W. Nature 537 2016). p. 339.Google Scholar
[4] Mersereau, R. M. & Oppenheim, A. V. Proc. IEEE 62 1974). p. 1319.Google Scholar
[5] Gordon, R., Bender, R. & Herman, G. T. J. Theor. Biol. 29 1970). p. 471.Google Scholar
[6] Andersen, A. Ultrason. Imaging 6 1984). p. 81.Google Scholar
[7] Miao, J., et al, Science 348 2015). p. 530.Google Scholar
[8] Scott, M. C., et al, Nature 483 2012). p. 444.Google Scholar
[9] Chen, C. C., et al, Nature 496 2013). p. 74.Google Scholar
[10] Xu, R., et al, Nature Mater 14 2015). p. 1099.Google Scholar
[11] Miao, J., et al, Phys. Rev. B. 72 2005). p. 052103.Google Scholar
[12] Yang, Y., et al, Nature 542 2017). p. 75.Google Scholar
[13] Gallagher-Jones, M., et al., submitted (2017).Google Scholar