Hostname: page-component-848d4c4894-2pzkn Total loading time: 0 Render date: 2024-06-01T15:08:21.768Z Has data issue: false hasContentIssue false

Automatic Pipeline for Cryo-EM Data Preprocessing

Published online by Cambridge University Press:  30 July 2020

Yilai Li
Affiliation:
University of Michigan, Ann Arbor, Michigan, United States
Michael Cianfrocco
Affiliation:
University of Michigan, Ann Arbor, Michigan, United States

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Image Processing Developments in Cryo-EM
Copyright
Copyright © Microscopy Society of America 2020

References

Arnold, S. A. et al. . (2017) ‘Blotting-free and lossless cryo-electron microscopy grid preparation from nanoliter-sized protein samples and single-cell extracts’, Journal of structural biology, 197(3), pp. 220226.10.1016/j.jsb.2016.11.002CrossRefGoogle ScholarPubMed
Callaway, E. (2020) ‘Revolutionary cryo-EM is taking over structural biology’, Nature, 578(7794), p. 201.10.1038/d41586-020-00341-9CrossRefGoogle ScholarPubMed
Cheng, A. et al. . (2018) ‘High resolution single particle cryo-electron microscopy using beam-image shift’, Journal of structural biology, 204(2), pp. 270275.10.1016/j.jsb.2018.07.015CrossRefGoogle ScholarPubMed
Darrow, M. C. et al. . (2019) ‘Chameleon: Next Generation Sample Preparation for CryoEM based on Spotiton’, Microscopy and microanalysis: the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. Cambridge University Press, 25(S2), pp. 994995.Google Scholar
Jain, T. et al. . (2012) ‘Spotiton: a prototype for an integrated inkjet dispense and vitrification system for cryo-TEM’, Journal of structural biology, 179(1), pp. 6875.10.1016/j.jsb.2012.04.020CrossRefGoogle ScholarPubMed
Li, Y. et al. . (2019) ‘High-throughput cryo-EM enabled by user-free preprocessing routines’, bioRxiv. biorxiv.org. Available at: https://www.biorxiv.org/content/10.1101/2019.12.20.885541v1.abstract.10.1101/2019.12.20.885541CrossRefGoogle Scholar
Punjani, A. et al. . (2017) ‘cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination’, Nature methods, 14(3), pp. 290296.10.1038/nmeth.4169CrossRefGoogle ScholarPubMed
Ravelli, R. B. G. et al. . (2019) ‘Automated cryo-EM sample preparation by pin-printing and jet vitrification’, bioRxiv. doi: 10.1101/651208.CrossRefGoogle Scholar
Tegunov, D. and Cramer, P. (2019) ‘Real-time cryo-electron microscopy data preprocessing with Warp’, Nature methods. doi: 10.1038/s41592-019-0580-y.CrossRefGoogle Scholar
Zivanov, J. et al. . (2018) ‘New tools for automated high-resolution cryo-EM structure determination in RELION-3’, eLife, 7. doi: 10.7554/eLife.42166.CrossRefGoogle Scholar