--- _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' ...