ArticleUltramicroscopy2014
CTER-rapid estimation of CTF parameters with error assessment.
Article in Ultramicroscopy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
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- CryoEM single particle reconstruction with a complex-valued particle stack.Journal of structural biology · 2023Article
- Recognition of the CCT5 di-Glu degron by CRL4The EMBO journal · 2023Article
- Computational methods forFrontiers in cellular and infection microbiology · 2023Review
- Emerging Themes in CryoEM─Single Particle Analysis Image Processing.Chemical reviews · 2022Review
- Ab-initio contrast estimation and denoising of cryo-EM images.Computer methods and programs in biomedicine · 2022Article
- Structural basis of the strict specificity of a bacterial GH31 α-1,3-glucosidase for nigerooligosaccharides.The Journal of biological chemistry · 2022Article
- On bias, variance, overfitting, gold standard and consensus in single-particle analysis by cryo-electron microscopy.Acta crystallographica. Section D, Structural biology · 2022Article
- Effects of chameleon dispense-to-plunge speed on particle concentration, complex formation, and final resolution: A case study using the Neisseria gonorrhoeae ribonucleotide reductase inactive complex.Journal of structural biology · 2022Article
- C-Glycoside metabolism in the gut and in nature: Identification, characterization, structural analyses and distribution of C-C bond-cleaving enzymes.Nature communications · 2021Article
- Step-by-step guide to efficient subtomogram averaging of virus-like particles with Dynamo.PLoS biology · 2021Article
- Coma-corrected rapid single-particle cryo-EM data collection on the CRYO ARM 300.Acta crystallographica. Section D, Structural biology · 2021Article
- Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.5 Å in cells.Nature methods · 2021Article
- TranSPHIRE: automated and feedback-optimized on-the-fly processing for cryo-EM.Nature communications · 2020Article
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- Cryo-EM structure of the fully-loaded asymmetric anthrax lethal toxin in its heptameric pre-pore state.PLoS pathogens · 2020Article
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- Glycan-dependent cell adhesion mechanism of Tc toxins.Nature communications · 2020Article
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6 authors.
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Abstract
In structural electron microscopy, the accurate estimation of the Contrast Transfer Function (CTF) parameters, particularly defocus and astigmatism, is of utmost importance for both initial evaluation of micrograph quality and for subsequent structure determination. Due to increases in the rate of data collection on modern microscopes equipped with new generation cameras, it is also important that the CTF estimation can be done rapidly and with minimal user intervention. Finally, in order to minimize the necessity for manual screening of the micrographs by a user it is necessary to provide an assessment of the errors of fitted parameters values. In this work we introduce CTER, a CTF parameters estimation method distinguished by its computational efficiency. The efficiency of the method makes it suitable for high-throughput EM data collection, and enables the use of a statistical resampling technique, bootstrap, that yields standard deviations of estimated defocus and astigmatism amplitude and angle, thus facilitating the automation of the process of screening out inferior micrograph data. Furthermore, CTER also outputs the spatial frequency limit imposed by reciprocal space aliasing of the discrete form of the CTF and the finite window size. We demonstrate the efficiency and accuracy of CTER using a data set collected on a 300kV Tecnai Polara (FEI) using the K2 Summit DED camera in super-resolution counting mode. Using CTER we obtained a structure of the 80S ribosome whose large subunit had a resolution of 4.03Å without, and 3.85Å with, inclusion of astigmatism parameters.
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