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Microscopy
Article . 2021 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
Microscopy
Article . 2022
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Cryo-electron microscopy of the giant viruses

Authors: Raymond N, Burton-Smith; Kazuyoshi, Murata;

Cryo-electron microscopy of the giant viruses

Abstract

Abstract High-resolution study of the giant viruses presents one of the latest challenges in cryo-electron microscopy (EM) of viruses. Too small for light microscopy but too large for easy study at high resolution by EM, they range in size from ∼0.2 to 2 μm from high-symmetry icosahedral viruses, such as Paramecium burseria Chlorella virus 1, to asymmetric forms like Tupanvirus or Pithovirus. To attain high resolution, two strategies exist to study these large viruses by cryo-EM: first, increasing the acceleration voltage of the electron microscope to improve sample penetration and overcome the limitations imposed by electro-optical physics at lower voltages, and, second, the method of ‘block-based reconstruction’ pioneered by Michael G. Rossmann and his collaborators, which resolves the latter limitation through an elegant leveraging of high symmetry but cannot overcome sample penetration limitations. In addition, more recent advances in both computational capacity and image processing also yield assistance in studying the giant viruses. Especially, the inclusion of Ewald sphere correction can provide large improvements in attainable resolutions for 300 kV electron microscopes. Despite this, the study of giant viruses remains a significant challenge.

Keywords

Giant Viruses, Cryoelectron Microscopy, Chlorella

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
hybrid