The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
A complete data processing workflow for cryo-ET and subtomogram averaging
Open accessAbstract
Electron cryotomography is currently the only method capable of visualizing cells in three dimensions at nanometer resolutions. While modern instruments produce massive amounts of tomography data containing extremely rich structural information, data processing is very labor intensive and the results are often limited by the skills of the personnel rather than the data. We present an integrated workflow that covers the entire tomography data processing pipeline, from automated tilt series alignment to subnanometer resolution subtomogram averaging. Resolution enhancement is made possible through the use of per-particle per-tilt contrast transfer function correction and alignment. The workflow greatly reduces human bias, increases throughput and more closely approaches data-limited resolution for subtomogram averaging in both purified macromolecules and cells. An integrated pipeline for processing cryo-ET data implemented in EMAN2 streamlines data processing to minimize human bias, and improves the quality and resolution of resulting macromolecular structures, both in vitro and in cells.
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Cites
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UCSF ChimeraX: Meeting modern challenges in visualization and analysis
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EMAN2: An extensible image processing suite for electron microscopy
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Self-citationIterative methods for the three-dimensional reconstruction of an object from projections
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Automated tilt series alignment and tomographic reconstruction in IMOD
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Structure of the AcrAB–TolC multidrug efflux pump
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Cited by
Comprehensive structure and functional adaptations of the yeast nuclear pore complex
Akey, C. W., Singh, D., Ouch, C., Echeverria, I., Nudelman, I., Varberg, J. M., Yu, Z., Fang, F., Shi, Y., Wang, J., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.015 · Cited by 180
Self-citationThe molecular architecture of the nuclear basket
(2024) · doi:10.1016/j.cell.2024.07.020 · Cited by 94
Barad, B. A., Medina, M., Fuentes, D., Wiseman, R. L., & Grotjahn, D. A. (2023) · Journal of Cell Biology · doi:10.1083/jcb.202204093 · Cited by 81
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CryoDRGN-AI: neural ab initio reconstruction of challenging cryo-EM and cryo-ET datasets
Levy, A., Raghu, R., Feathers, J. R., Grzadkowski, M., Poitevin, F., Johnston, J. D., Vallese, F., Clarke, O. B., Wetzstein, G., & Zhong, E. D. (2025) · Nature Methods · doi:10.1038/s41592-025-02720-4 · Cited by 25
Metadata
- Authors
- Chen, M., Bell, J. M., Shi, X., Sun, S. Y., Wang, Z., & Ludtke, S. J.
- Venue
- Nature Methods
- Published
- 2019-10-14
- Volume
- 16
- Issue
- 11
- Pages
- 1161-1168
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2940188016
- Cited by
- 253
- References
- 31
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- green
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