Evidence map›Paper›PMID 36378502›Full record

ArticleeLife2022

Crosshair, semi-automated targeting for electron microscopy with a motorised ultramicrotome.

Kimberly Meechan, Wei Guan, Alfons Riedinger, Vera Stankova, Azumi Yoshimura, Rosa Pipitone, Arthur Milberger, Helmuth Schaar, Inés Romero-Brey, Rachel Templin and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Array tomography: trails to discovery.Methods in microscopy · 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

15 authors at 2 institutions in 2 countries.

Kimberly MeechanCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0003-4939-4170
Wei GuanFrancis Crick Institute, London, United Kingdom.
Alfons RiedingerElectronic Workshop, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Vera StankovaElectronic Workshop, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Azumi YoshimuraFrancis Crick Institute, London, United Kingdom.
Rosa PipitoneCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-6855-5614
Arthur MilbergerMechanical Workshop, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Helmuth SchaarMechanical Workshop, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Inés Romero-BreyCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Rachel TemplinCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0003-2800-5826
Christopher J PeddieFrancis Crick Institute, London, United Kingdom.ORCID 0000-0002-8329-5419
Nicole L SchieberCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-3212-5057
Martin L JonesFrancis Crick Institute, London, United Kingdom.ORCID 0000-0003-0994-5652
Lucy CollinsonFrancis Crick Institute, London, United Kingdom.
Yannick SchwabCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0001-8027-1836
European Bioinformatics Institute · GBThe Francis Crick Institute · GB

Funding

Medical Research Council MR/K01580X/1Wellcome Trust FC001999
6 · The paper itself

Abstract

Volume electron microscopy (EM) is a time-consuming process - often requiring weeks or months of continuous acquisition for large samples. In order to compare the ultrastructure of a number of individuals or conditions, acquisition times must therefore be reduced. For resin-embedded samples, one solution is to selectively target smaller regions of interest by trimming with an ultramicrotome. This is a difficult and labour-intensive process, requiring manual positioning of the diamond knife and sample, and much time and training to master. Here, we have developed a semi-automated workflow for targeting with a modified ultramicrotome. We adapted two recent commercial systems to add motors for each rotational axis (and also each translational axis for one system), allowing precise and automated movement. We also developed a user-friendly software to convert X-ray images of resin-embedded samples into angles and cutting depths for the ultramicrotome. This is provided as an open-source Fiji plugin called Crosshair. This workflow is demonstrated by targeting regions of interest in a series of

Indexed as

MicrotomyPolychaetaAnimalsFijiHumansMicroscopy, Electron, ScanningSoftwarecell biologyelectron microscopyopen-source softwareP. dumeriliitargeted acquisition

Identifiers

PMID36378502
PMCPMC9665851
OpenAlexW4309066404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.