---
_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. Journal
of Structural Biology. 2017;199(3):187-195. doi:10.1016/j.jsb.2017.07.007
apa: Turoňová, B., Schur, F. K., 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. Academic Press. https://doi.org/10.1016/j.jsb.2017.07.007
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.” Journal of Structural Biology. Academic
Press, 2017. https://doi.org/10.1016/j.jsb.2017.07.007.
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,” Journal of Structural Biology, 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.” Journal of
Structural Biology, vol. 199, no. 3, Academic Press, 2017, pp. 187–95, doi:10.1016/j.jsb.2017.07.007.
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:
- access_level: open_access
checksum: 7f2d4bbac767f9acc254d1a4114d181a
content_type: application/pdf
creator: kschuh
date_created: 2019-03-22T09:29:44Z
date_updated: 2020-07-14T12:48:09Z
file_id: '6168'
file_name: 2017_Elsevier_Turonova.pdf
file_size: 1310009
relation: main_file
file_date_updated: 2020-07-14T12:48:09Z
has_accepted_license: '1'
intvolume: ' 199'
issue: '3'
language:
- iso: eng
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:
image: /images/cc_by.png
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'
...