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Related Experiment Videos

A resolution criterion for electron tomography based on cross-validation.

Giovanni Cardone1, Kay Grünewald, Alasdair C Steven

  • 1Laboratory of Structural Biology, National Institute of Arthritis, Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Journal of Structural Biology
|June 21, 2005
PubMed
Summary
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New methods for electron tomography resolution assessment are introduced. The Fourier Shell Correlation (even/odd) and Noise-Compensated Leave-One-Out criteria offer quantitative, cross-validation-based quality control for tomographic data.

Area of Science:

  • Structural Biology
  • Microscopy Techniques
  • Computational Biology

Background:

  • Quantitative resolution assessment is crucial for electron tomography (ET).
  • Existing single-particle analysis criteria are not directly applicable to unique tomographic volumes.
  • Accurate resolution metrics are needed for reliable structural determination using ET.

Purpose of the Study:

  • To develop and validate new quantitative resolution assessment criteria for electron tomography.
  • To provide methods for assessing angular dependence of resolution and quality control of projection series.
  • To enable reliable global resolution figures for tomographic datasets.

Main Methods:

  • Proposed two cross-validation-based criteria: Fourier Shell Correlation (even/odd) and Noise-Compensated Leave-One-Out (NLOO).

Related Experiment Videos

  • FSC(e/o) compares tomograms from even and odd tilt series members.
  • NLOO compares projections with reprojections, accounting for noise statistics.

    • Main Results:

    • Both FSC(e/o) and NLOO criteria showed consistency with FSC(ref) on simulated data.
    • Criteria allow assessment of angular resolution dependence and projection quality control.
    • NLOO proved more reliable than FSC(e/o) when tilt increment size impacts resolution.

    Conclusions:

    • FSC(e/o) and NLOO provide robust, quantitative resolution assessment for electron tomography.
    • These methods enable quality control and reliable global resolution determination.
    • NLOO is particularly valuable for assessing resolution limitations due to tilt increment size and can be applied to experimental data.