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

    Pyle, Euan and Zanetti, Giulia (2021) Current data processing strategies for cryo-electron tomography and subtomogram averaging. Biochemical Journal 478 (10), pp. 1827-1845. ISSN 0264-6021.

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    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.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): cryo-electron microscopy, cryo-electron tomography, subtomogram averaging
    School: School of Science > Biological Sciences
    Depositing User: Administrator
    Date Deposited: 27 May 2021 13:10
    Last Modified: 11 Jun 2021 00:21
    URI: https://eprints.bbk.ac.uk/id/eprint/44466

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