Evidence map›Paper›PMID 29981485›Full record

ArticleJournal of structural biology2018

Routine determination of ice thickness for cryo-EM grids.

William J Rice, Anchi Cheng, Alex J Noble, Edward T Eng, Laura Y Kim, Bridget Carragher, Clinton S Potter

Abstract read
In one paragraph

Article in Journal of structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Article
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  12. Miniprotein inhibitors of thebioRxiv : the preprint server for biology · 2026
    Article
  13. Cryogenic electron tomography by the numbers: Charting underexplored lineages in structural cell biology.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  14. Article
  15. Cryo-EM single-particle analysis expanding towards increasingly native samples.Acta crystallographica. Section D, Structural biology · 2025
    Review
  16. Generation of actionable, cancer-specific neoantigens from KRAS(G12C) with adagrasib.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Foam film vitrification for cryo-EM.Nature communications · 2025
    Article
  18. Review
  19. Reducing the effects of radiation damage in cryo-EM using liquid helium temperatures.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

29 more citing papers are in PubMed but not listed here.

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

7 authors.

William J RiceNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States.
Anchi ChengNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States.
Alex J NobleNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States.
Edward T EngNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States.
Laura Y KimNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States.
Bridget CarragherNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, United States.
Clinton S PotterNational Resource for Automated Molecular Microscopy, Simons Electron Microscopy Center, New York Structural Biology Center, New York, United States; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, United States.

Funding

TRD #3: An automated and streamlined pipeline for in-situ molecular microscopyP41GM103310 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI DE MARCO, ALEX, KIEFT, JEFFREY S · 2012 to 2021
$14.7M
Acquisition of Detector for JEOL 3200 FSC Electron MicroscopeS10OD019994 · OD · NEW YORK STRUCTURAL BIOLOGY CENTER · PI CARRAGHER, BRIDGET OLIVIA · 2015 to 2015
$600k
NIGMS NIH HHS P41 GM103310NIH HHS S10 OD019994
6 · The paper itself

Abstract

Recent advances in instrumentation and automation have made cryo-EM a popular method for producing near-atomic resolution structures of a variety of proteins and complexes. Sample preparation is still a limiting factor in collecting high quality data. Thickness of the vitreous ice in which the particles are embedded is one of the many variables that need to be optimized for collection of the highest quality data. Here we present two methods, using either an energy filter or scattering outside the objective aperture, to measure ice thickness for potentially every image collected. Unlike geometrical or tomographic methods, these can be implemented directly in the single particle collection workflow without interrupting or significantly slowing down data collection. We describe the methods as implemented into the Leginon/Appion data collection workflow, along with some examples from test cases. Routine monitoring of ice thickness should prove helpful for optimizing sample preparation, data collection, and data processing.

Indexed as

AnimalsCryoelectron MicroscopyElectron Microscope TomographyFructose-Bisphosphate AldolaseGlutamate DehydrogenaseRabbitsSpecimen HandlingFructose-Bisphosphate AldolaseGlutamate DehydrogenaseCryo-EMEnergy filterIce thicknessInelastic scatteringMean free path

Identifiers

PMID29981485
PMCPMC6119488

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.