Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 59,633 bioRxiv papers from 265,294 authors.
High Resolution Single Particle Cryo-Electron Microscopy using Beam-Image Shift
Edward T Eng,
William J. Rice,
Kelsey D Jordan,
Laura Y Kim,
Clinton S Potter,
Posted 23 Apr 2018
bioRxiv DOI: 10.1101/306241 (published DOI: 10.1016/j.jsb.2018.07.015)
Posted 23 Apr 2018
Automated data acquisition is now used widely for the single-particle averaging approach to reconstruction of three-dimensional (3D) volumes of biological complexes preserved in vitreous ice and imaged in a transmission electron microscope (cryo-EM). Automation has become integral to this method because of the very large number of particle images required to be averaged in order to overcome the typically low signal-to-noise ratio of these images. For optimal efficiency, all automated data acquisition software packages employ some degree of beam-image shift because this method is fast and accurate (+/- 0.1 μm). Relocation to a targeted area under low-dose conditions can only be achieved using stage movements in combination with multiple iterations or long relaxation times, both reducing efficiency. It is, however, well known that applying beam-image shift induces beam-tilt and hence structure phase error. A π/4 phase error is considered as the worst that can be accepted, and is used as an argument against the use of any beam-image shift for high resolution data collection. In this study, we performed cryo-EM single-particle reconstructions on a T20S proteasome sample using applied beam-image shifts corresponding to beam tilts from 0 to 10 mrad. To evaluate the results we compared the FSC values, and examined the water density peaks in the 3D map. We conclude that the π/4 phase error does not limit the validity of the 3D reconstruction from single-particle averaging beyond the π/4 resolution limit.
- Downloaded 1,787 times
- Download rankings, all-time:
- Site-wide: 2,576 out of 59,633
- In biophysics: 63 out of 2,523
- Year to date:
- Site-wide: 3,017 out of 59,633
- Since beginning of last month:
- Site-wide: 6,306 out of 59,633
Downloads over time
Distribution of downloads per paper, site-wide
- Top preprints of 2018
- Paper search
- Author leaderboards
- Overall metrics
- The API
- Email newsletter
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!