DOI: 10.1042/bcj20200715. Current data processing strategies for cryo-electron tomography and subtomogram averaging

Current data processing strategies for cryo-electron tomography and subtomogram averaging

10.1042/bcj20200715

Crossref journal-article

Portland Press Ltd.

Biochemical Journal (288)

Abstract

Cryo-electron tomography (cryo-ET) can be used to reconstruct three-dimensional (3D) volumes, or tomograms, from a series of tilted two-dimensional images of biological objects in their near-native states in situ or in vitro. 3D subvolumes, or subtomograms, containing particles of interest can be extracted from tomograms, aligned, and averaged in a process called subtomogram averaging (STA). STA overcomes the low signal to noise ratio within the individual subtomograms to generate structures of the particle(s) of interest. In recent years, cryo-ET with STA has increasingly been capable of reaching subnanometer resolution due to improvements in microscope hardware and data processing strategies. There has also been an increase in the number and quality of software packages available to process cryo-ET data with STA. In this review, we describe and assess the data processing strategies available for cryo-ET data and highlight the recent software developments which have enabled the extraction of high-resolution information from cryo-ET datasets.

Bibliography

Pyle, E., & Zanetti, G. (2021). Current data processing strategies for cryo-electron tomography and subtomogram averaging. Biochemical Journal, 478(10), 1827â1845.

Authors 2

Euan Pyle (first)
Giulia Zanetti (additional)

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Dates

Type	When
Created	4 years, 3 months ago (May 18, 2021, 9:23 a.m.)
Deposited	3 years, 8 months ago (Nov. 22, 2021, 9:35 p.m.)
Indexed	2 weeks, 5 days ago (Aug. 2, 2025, 1:03 a.m.)
Issued	4 years, 3 months ago (May 18, 2021)
Published	4 years, 3 months ago (May 18, 2021)
Published Online	4 years, 3 months ago (May 18, 2021)
Published Print	4 years, 2 months ago (May 28, 2021)

Funders 0

None

BibTeX

@article{Pyle_2021, title={Current data processing strategies for cryo-electron tomography and subtomogram averaging}, volume={478}, ISSN={1470-8728}, url={http://dx.doi.org/10.1042/bcj20200715}, DOI={10.1042/bcj20200715}, number={10}, journal={Biochemical Journal}, publisher={Portland Press Ltd.}, author={Pyle, Euan and Zanetti, Giulia}, year={2021}, month=may, pages={1827–1845} }

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