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TitleCompressed sensing for electron cryotomography and high-resolution subtomogram averaging of biological specimens.
Journal, issue, pagesStructure, Vol. 30, Issue 3, Page 408-417.e4, Year 2022
Publish dateMar 3, 2022
AuthorsJan Böhning / Tanmay A M Bharat / Sean M Collins /
PubMed AbstractCryoelectron tomography (cryo-ET) and subtomogram averaging (STA) allow direct visualization and structural studies of biological macromolecules in their native cellular environment, in situ. Often, ...Cryoelectron tomography (cryo-ET) and subtomogram averaging (STA) allow direct visualization and structural studies of biological macromolecules in their native cellular environment, in situ. Often, low signal-to-noise ratios in tomograms, low particle abundance within the cell, and low throughput in typical cryo-ET workflows severely limit the obtainable structural information. To help mitigate these limitations, here we apply a compressed sensing approach using 3D second-order total variation (CS-TV) to tomographic reconstruction. We show that CS-TV increases the signal-to-noise ratio in tomograms, enhancing direct visualization of macromolecules, while preserving high-resolution information up to the secondary structure level. We show that, particularly with small datasets, CS-TV allows improvement of the resolution of STA maps. We further demonstrate that the CS-TV algorithm is applicable to cellular specimens, leading to increased visibility of molecular detail within tomograms. This work highlights the potential of compressed sensing-based reconstruction algorithms for cryo-ET and in situ structural biology.
External linksStructure / PubMed:35051366 / PubMed Central
MethodsEM (tomography)
Structure data

EMDB-13881:
CS-TV2-reconstructed tomogram of a C. crescentus stalk covered by an S-layer
Method: EM (tomography)

Source
  • Caulobacter vibrioides (bacteria)

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