ReviewActa crystallographica. Section F, Structural biology communications2019
Single-particle reconstruction statistics: a diagnostic tool in solving biomolecular structures by cryo-EM.
Review in Acta crystallographica. Section F, Structural biology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The relationship between the Ewald sphere and exit wave explored using focal series electron micrographs.IUCrJ · 2026Article
- Cryo-EM structure and B-factor refinement with ensemble representation.Nature communications · 2024Article
- The Ewald sphere/focus gradient does not limit the resolution of cryoEM reconstructions.Journal of structural biology: X · 2023Article
- The progressive spectral signal-to-noise ratio of cryo-electron micrograph movies as a tool to assess quality and radiation damage.Computer methods and programs in biomedicine · 2022Article
- High resolution electron tomography and segmentation-by-modeling interpretation in Bsoft.Protein science : a publication of the Protein Society · 2021Article
- Non-uniformity of projection distributions attenuates resolution in Cryo-EM.Progress in biophysics and molecular biology · 2020Article
- Article
- Acta Crystallographica Section F - another home for cryo-electron microscopy contributions.Acta crystallographica. Section F, Structural biology communications · 2019Article
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Authors and funding
1 author.
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Abstract
In single-particle analysis (SPA), the aim is to obtain a 3D reconstruction of a biological molecule from 2D electron micrographs to the highest level of detail or resolution as possible. Current practice is to collect large volumes of data, hoping to reach high-resolution maps through sheer numbers. However, adding more particles from a specific data set eventually leads to diminishing improvements in resolution. Understanding what these resolution limits are and how to deal with them are important in optimization and automation of SPA. This study revisits the theory of 3D reconstruction and demonstrates how the associated statistics can provide a diagnostic tool to improve SPA. Small numbers of images already give sufficient information on micrograph quality and the amount of data required to reach high resolution. Such feedback allows the microscopist to improve sample-preparation and imaging parameters before committing to extensive data collection. Once a larger data set is available, a B factor can be determined describing the suppression of the signal owing to one or more causes, such as specimen movement, radiation damage, alignment inaccuracy and structural variation. Insight into the causes of signal suppression can then guide the user to consider appropriate actions to obtain better reconstructions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.