Evidence map›Paper›PMID 33950013›Full record

ArticleActa crystallographica. Section D, Structural biology2021

Optimized cryo-EM data-acquisition workflow by sample-thickness determination.

Jan Rheinberger, Gert Oostergetel, Guenter P Resch, Cristina Paulino

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
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  4. Miniprotein inhibitors of thebioRxiv : the preprint server for biology · 2026
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  11. Structural basis for excitatory neuropeptide signaling.Nature structural & molecular biology · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jan RheinbergerDepartment of Structural Biology and Membrane Enzymology at the Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-9901-2065
Gert OostergetelDepartment of Structural Biology and Membrane Enzymology at the Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-6816-136X
Guenter P ReschNexperion e.U. - Solutions for Electron Microscopy, Vienna, Austria.
Cristina PaulinoDepartment of Structural Biology and Membrane Enzymology at the Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-7017-109X

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 722.017.001Nederlandse Organisatie voor Wetenschappelijk Onderzoek 740.018.016
6 · The paper itself

Abstract

Sample thickness is a known key parameter in cryo-electron microscopy (cryo-EM) and can affect the amount of high-resolution information retained in the image. Yet, common data-acquisition approaches in single-particle cryo-EM do not take it into account. Here, it is demonstrated how the sample thickness can be determined before data acquisition, allowing the identification of optimal regions and the restriction of automated data collection to images with preserved high-resolution details. This quality-over-quantity approach almost entirely eliminates the time- and storage-consuming collection of suboptimal images, which are discarded after a recorded session or during early image processing due to a lack of high-resolution information. It maximizes the data-collection efficiency and lowers the electron-microscopy time required per data set. This strategy is especially useful if the speed of data collection is restricted by the microscope hardware and software, or if microscope access time, data transfer, data storage and computational power are a bottleneck.

Indexed as

AnimalsCryoelectron MicroscopyFructose-Bisphosphate AldolaseImage Processing, Computer-AssistedRabbitsSoftwareSpecimen HandlingFructose-Bisphosphate AldolaseautomationDigital Micrographsample thicknessSerialEMsingle-particle cryo-electron microscopy

Identifiers

PMID33950013
PMCPMC8098475

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Registered trials

None linked

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.