---
_id: '817'
abstract:
- lang: eng
  text: Cryo-electron tomography (cryo-ET) allows cellular ultrastructures and macromolecular
    complexes to be imaged in three-dimensions in their native environments. Cryo-electron
    tomograms are reconstructed from projection images taken at defined tilt-angles.
    In order to recover high-resolution information from cryo-electron tomograms,
    it is necessary to measure and correct for the contrast transfer function (CTF)
    of the microscope. Most commonly, this is performed using protocols that approximate
    the sample as a two-dimensional (2D) plane. This approximation accounts for differences
    in defocus and therefore CTF across the tilted sample. It does not account for
    differences in defocus of objects at different heights within the sample; instead,
    a 3D approach is required. Currently available approaches for 3D-CTF correction
    are computationally expensive and have not been widely implemented. Here we simulate
    the benefits of 3D-CTF correction for high-resolution subtomogram averaging, and
    present a user-friendly, computationally-efficient 3D-CTF correction tool, NovaCTF,
    that is compatible with standard tomogram reconstruction workflows in IMOD. We
    validate the approach on synthetic data and test it using subtomogram averaging
    of real data. Consistent with our simulations, we find that 3D-CTF correction
    allows high-resolution structures to be obtained with much smaller subtomogram
    averaging datasets than are required using 2D-CTF. We also show that using equivalent
    dataset sizes, 3D-CTF correction can be used to obtain higher-resolution structures.
    We present a 3.4. Å resolution structure determined by subtomogram averaging.
author:
- first_name: Beata
  full_name: Turoňová, Beata
  last_name: Turoňová
- first_name: Florian
  full_name: Schur, Florian
  id: 48AD8942-F248-11E8-B48F-1D18A9856A87
  last_name: Schur
  orcid: 0000-0003-4790-8078
- first_name: William
  full_name: Wan, William
  last_name: Wan
- first_name: John
  full_name: Briggs, John
  last_name: Briggs
citation:
  ama: Turoňová B, Schur FK, Wan W, Briggs J. Efficient 3D-CTF correction for cryo-electron
    tomography using NovaCTF improves subtomogram averaging resolution to 3.4Å. <i>Journal
    of Structural Biology</i>. 2017;199(3):187-195. doi:<a href="https://doi.org/10.1016/j.jsb.2017.07.007">10.1016/j.jsb.2017.07.007</a>
  apa: Turoňová, B., Schur, F. K., Wan, W., &#38; Briggs, J. (2017). Efficient 3D-CTF
    correction for cryo-electron tomography using NovaCTF improves subtomogram averaging
    resolution to 3.4Å. <i>Journal of Structural Biology</i>. Academic Press. <a href="https://doi.org/10.1016/j.jsb.2017.07.007">https://doi.org/10.1016/j.jsb.2017.07.007</a>
  chicago: Turoňová, Beata, Florian KM Schur, William Wan, and John Briggs. “Efficient
    3D-CTF Correction for Cryo-Electron Tomography Using NovaCTF Improves Subtomogram
    Averaging Resolution to 3.4Å.” <i>Journal of Structural Biology</i>. Academic
    Press, 2017. <a href="https://doi.org/10.1016/j.jsb.2017.07.007">https://doi.org/10.1016/j.jsb.2017.07.007</a>.
  ieee: B. Turoňová, F. K. Schur, W. Wan, and J. Briggs, “Efficient 3D-CTF correction
    for cryo-electron tomography using NovaCTF improves subtomogram averaging resolution
    to 3.4Å,” <i>Journal of Structural Biology</i>, vol. 199, no. 3. Academic Press,
    pp. 187–195, 2017.
  ista: Turoňová B, Schur FK, Wan W, Briggs J. 2017. Efficient 3D-CTF correction for
    cryo-electron tomography using NovaCTF improves subtomogram averaging resolution
    to 3.4Å. Journal of Structural Biology. 199(3), 187–195.
  mla: Turoňová, Beata, et al. “Efficient 3D-CTF Correction for Cryo-Electron Tomography
    Using NovaCTF Improves Subtomogram Averaging Resolution to 3.4Å.” <i>Journal of
    Structural Biology</i>, vol. 199, no. 3, Academic Press, 2017, pp. 187–95, doi:<a
    href="https://doi.org/10.1016/j.jsb.2017.07.007">10.1016/j.jsb.2017.07.007</a>.
  short: B. Turoňová, F.K. Schur, W. Wan, J. Briggs, Journal of Structural Biology
    199 (2017) 187–195.
date_created: 2018-12-11T11:48:40Z
date_published: 2017-09-01T00:00:00Z
date_updated: 2021-01-12T08:17:16Z
day: '01'
ddc:
- '570'
doi: 10.1016/j.jsb.2017.07.007
extern: '1'
file:
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  creator: kschuh
  date_created: 2019-03-22T09:29:44Z
  date_updated: 2020-07-14T12:48:09Z
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file_date_updated: 2020-07-14T12:48:09Z
has_accepted_license: '1'
intvolume: '       199'
issue: '3'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: 187-195
publication: Journal of Structural Biology
publication_status: published
publisher: Academic Press
publist_id: '6832'
quality_controlled: '1'
status: public
title: Efficient 3D-CTF correction for cryo-electron tomography using NovaCTF improves
  subtomogram averaging resolution to 3.4Å
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 199
year: '2017'
...