Evidence map›Paper›PMID 28252673›Full record

ArticleScientific reports2017

Automated sub-5 nm image registration in integrated correlative fluorescence and electron microscopy using cathodoluminescence pointers.

Martijn T Haring, Nalan Liv, A Christiaan Zonnevylle, Angela C Narvaez, Lenard M Voortman, Pieter Kruit, Jacob P Hoogenboom

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
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  8. Article
  9. The 2018 correlative microscopy techniques roadmap.Journal of physics D: Applied physics · 2018
    Review
  10. Article
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.

Martijn T HaringDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Nalan LivDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
A Christiaan ZonnevylleDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Angela C NarvaezDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Lenard M VoortmanDelmic BV, Delft, The Netherlands.
Pieter KruitDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Jacob P HoogenboomDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the biological sciences, data from fluorescence and electron microscopy is correlated to allow fluorescence biomolecule identification within the cellular ultrastructure and/or ultrastructural analysis following live-cell imaging. High-accuracy (sub-100 nm) image overlay requires the addition of fiducial markers, which makes overlay accuracy dependent on the number of fiducials present in the region of interest. Here, we report an automated method for light-electron image overlay at high accuracy, i.e. below 5 nm. Our method relies on direct visualization of the electron beam position in the fluorescence detection channel using cathodoluminescence pointers. We show that image overlay using cathodoluminescence pointers corrects for image distortions, is independent of user interpretation, and does not require fiducials, allowing image correlation with molecular precision anywhere on a sample.

Identifiers

PMID28252673
PMCPMC5333625

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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.