Evidence map›Paper›PMID 29884886›Full record

ArticleScientific reports2018

Optimized protocol for combined PALM-dSTORM imaging.

O Glushonkov, E Réal, E Boutant, Y Mély, P Didier

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Piggybacking functionalized DNA nanostructures into live cell nuclei.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. A Perspective on Fluorescent Nanodiamond Bioimaging.Small (Weinheim an der Bergstrasse, Germany) · 2019
    Review
  13. 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

5 authors.

O GlushonkovLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 67000, Strasbourg, France.
E RéalLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 67000, Strasbourg, France.
E BoutantLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 67000, Strasbourg, France.
Y MélyLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 67000, Strasbourg, France.ORCID 0000-0001-7328-8269
P DidierLaboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 67000, Strasbourg, France. pascal.didier@unistra.fr.ORCID 0000-0003-2850-9186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-colour super-resolution localization microscopy is an efficient technique to study a variety of intracellular processes, including protein-protein interactions. This technique requires specific labels that display transition between fluorescent and non-fluorescent states under given conditions. For the most commonly used label types, photoactivatable fluorescent proteins and organic fluorophores, these conditions are different, making experiments that combine both labels difficult. Here, we demonstrate that changing the standard imaging buffer of thiols/oxygen scavenging system, used for organic fluorophores, to the commercial mounting medium Vectashield increased the number of photons emitted by the fluorescent protein mEos2 and enhanced the photoconversion rate between its green and red forms. In addition, the photophysical properties of organic fluorophores remained unaltered with respect to the standard imaging buffer. The use of Vectashield together with our optimized protocol for correction of sample drift and chromatic aberrations enabled us to perform two-colour 3D super-resolution imaging of the nucleolus and resolve its three compartments.

Identifiers

PMID29884886
PMCPMC5993819

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Registered trials

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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.