Evidence map›Paper›PMID 23844052›Full record

ArticlePloS one2013

Light-sheet confined super-resolution using two-photon photoactivation.

Francesca Cella Zanacchi, Zeno Lavagnino, Mario Faretta, Laura Furia, Alberto Diaspro

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. FastBiomedical optics express · 2020
    Article
  4. Review
  5. Light-Sheet Microscopy in Neuroscience.Annual review of neuroscience · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. New advances in probing cell-extracellular matrix interactions.Integrative biology : quantitative biosciences from nano to macro · 2017
    Review
  13. Article
  14. Review
  15. Light Sheet Fluorescence Microscopy (LSFM).Current protocols in cytometry · 2015
    Article
  16. Article
  17. Article
  18. Eight years of single-molecule localization microscopy.Histochemistry and cell biology · 2014
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Francesca Cella ZanacchiDepartment of Nanophysics, Istituto Italiano di Tecnologia, Genova, Italy. francesca.cella@iit.it
Zeno Lavagnino
Mario Faretta
Laura Furia
Alberto Diaspro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light-sheet microscopy is a useful tool for performing biological investigations of thick samples and it has recently been demonstrated that it can also act as a suitable architecture for super-resolution imaging of thick biological samples by means of individual molecule localization. However, imaging in depth is still limited since it suffers from a reduction in image quality caused by scattering effects. This paper sets out to investigate the advantages of non-linear photoactivation implemented in a selective plane illumination configuration when imaging scattering samples. In particular, two-photon excitation is proven to improve imaging capabilities in terms of imaging depth and is expected to reduce light-sample interactions and sample photo-damage. Here, two-photon photoactivation is coupled to individual molecule localization methods based on light-sheet illumination (IML-SPIM), allowing super-resolution imaging of nuclear pH2AX in NB4 cells.

Indexed as

PhotonsCell Line, TumorDextransFluorescein-5-isothiocyanateFluorescent DyesHistonesHumansImaging, Three-DimensionalMicroscopy, Fluorescence, MultiphotonDextransFluorescein-5-isothiocyanatefluorescein isothiocyanate dextranFluorescent DyesH2AX protein, humanHistones

Identifiers

PMID23844052
PMCPMC3699622

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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.