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emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging

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Himes, Benjamin A., Zhang, Peijun·2018·Nature Methods

Abstract

Macromolecular complexes are intrinsically flexible and often challenging to purify for structure determination by single-particle cryo-electron microscopy (cryo-EM). Such complexes can be studied by cryo-electron tomography (cryo-ET) combined with subtomogram alignment and classification, which in exceptional cases achieves subnanometer resolution, yielding insight into structure–function relationships. However, it remains challenging to apply this approach to specimens that exhibit conformational or compositional heterogeneity or are present in low abundance. To address this, we developed emClarity (https://github.com/bHimes/emClarity/wiki), a GPU-accelerated image-processing package featuring an iterative tomographic tilt-series refinement algorithm that uses subtomograms as fiducial markers and a 3D-sampling-function-compensated, multi-scale principal component analysis classification method. We demonstrate that our approach offers substantial improvement in the resolution of maps and in the separation of different functional states of macromolecular complexes compared with current state-of-the-art software. A software tool, emClarity, implements several improvements in cryo-electron tomography image-processing algorithms to achieve sub-nanometer resolution for diverse macromolecular structures.

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Metadata

Authors
Himes, B. A., & Zhang, P.
Venue
Nature Methods
Published
2018-10-22
Volume
15
Issue
11
Pages
955-961
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2897254286
Cited by
283
References
73
FWCI
10.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging. https://app.cochat.ai/papers/10.1038/s41592-018-0167-z
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Himes, B. A., & Zhang, P. (2018). emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging. Nature Methods. https://doi.org/10.1038/s41592-018-0167-z

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