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Fast Acquisition of Tilt-series for High-resolution Sub-tomogram Averaging

Published online by Cambridge University Press:  30 July 2020

Alberto Bartesaghi ,
Hsuan-Fu Liu ,
Jonathan Bouvette ,
Joshua Strauss  and
Mario Borgnia
Alberto Bartesaghi
Affiliation:
Duke University, Durham, North Carolina, United States
Hsuan-Fu Liu
Affiliation:
Duke University, Durham, North Carolina, United States
Jonathan Bouvette
Affiliation:
National Institute of Environmental Health Sciences - NIH, Research Triangle Park, North Carolina, United States
Joshua Strauss
Affiliation:
University of North Carolina - Chapel Hill, Chapel Hill, North Carolina, United States
Mario Borgnia
Affiliation:
National Institute of Environmental Health Sciences - NIH, Research Triangle Park, North Carolina, United States

Abstract

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Type
The Promise of Cryo-Electron Tomography
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 3000
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Copyright
Copyright © Microscopy Society of America 2020

References

Hagen, W. J. H., Wan, W., and Briggs, J. A. G., “Implementation of a cryo-electron tomography tilt-scheme optimized for high resolution subtomogram averaging,” J. Struct. Biol., vol. 197, no. 2, pp. 191–198, 2017.10.1016/j.jsb.2016.06.007CrossRefGoogle Scholar
Chreifi, G., Chen, S., Metskas, L. A., Kaplan, M., and Jensen, G. J., “Rapid tilt-series acquisition for electron cryotomography,” J. Struct. Biol., vol. 205, no. 2, pp. 163–169, 2019.10.1016/j.jsb.2018.12.008CrossRefGoogle ScholarPubMed
Bartesaghi, A., Lecumberry, F., Sapiro, G., and Subramaniam, S., “Protein secondary structure determination by constrained single-particle cryo-electron tomography,” Structure, vol. 20, no. 12, pp. 2003–2013, 2012.10.1016/j.str.2012.10.016CrossRefGoogle Scholar