Evidence map›Paper›PMID 25884495›Full record

ArticlePloS one2015

Virtual-'light-sheet' single-molecule localisation microscopy enables quantitative optical sectioning for super-resolution imaging.

Matthieu Palayret, Helen Armes, Srinjan Basu, Adam T Watson, Alex Herbert, David Lando, Thomas J Etheridge, Ulrike Endesfelder, Mike Heilemann, Ernest Laue and 3 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

13 authors.

Matthieu PalayretDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom.
Helen ArmesDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom; Genome Damage and Stability Centre, University of Sussex, Falmer, Sussex, BN1 9RQ, United Kingdom.
Srinjan BasuDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom.
Adam T WatsonGenome Damage and Stability Centre, University of Sussex, Falmer, Sussex, BN1 9RQ, United Kingdom.
Alex HerbertGenome Damage and Stability Centre, University of Sussex, Falmer, Sussex, BN1 9RQ, United Kingdom.
David LandoDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom.
Thomas J EtheridgeGenome Damage and Stability Centre, University of Sussex, Falmer, Sussex, BN1 9RQ, United Kingdom.
Ulrike EndesfelderInstitute of Physical and Theoretical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str. 7, 60438, Frankfurt, Germany.
Mike HeilemannInstitute of Physical and Theoretical Chemistry, Goethe University Frankfurt, Max-von-Laue-Str. 7, 60438, Frankfurt, Germany.
Ernest LaueDepartment of Biochemistry, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, United Kingdom.
Antony M CarrGenome Damage and Stability Centre, University of Sussex, Falmer, Sussex, BN1 9RQ, United Kingdom.
David KlenermanDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom.
Steven F LeeDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/K013726/1Medical Research Council MR/K015850/1Wellcome TrustWellcome Trust 082010/Z/07/ZWellcome Trust 093756/B/10/Z
6 · The paper itself

Abstract

Single-molecule super-resolution microscopy allows imaging of fluorescently-tagged proteins in live cells with a precision well below that of the diffraction limit. Here, we demonstrate 3D sectioning with single-molecule super-resolution microscopy by making use of the fitting information that is usually discarded to reject fluorophores that emit from above or below a virtual-'light-sheet', a thin volume centred on the focal plane of the microscope. We describe an easy-to-use routine (implemented as an open-source ImageJ plug-in) to quickly analyse a calibration sample to define and use such a virtual light-sheet. In addition, the plug-in is easily usable on almost any existing 2D super-resolution instrumentation. This optical sectioning of super-resolution images is achieved by applying well-characterised width and amplitude thresholds to diffraction-limited spots that can be used to tune the thickness of the virtual light-sheet. This allows qualitative and quantitative imaging improvements: by rejecting out-of-focus fluorophores, the super-resolution image gains contrast and local features may be revealed; by retaining only fluorophores close to the focal plane, virtual-'light-sheet' single-molecule localisation microscopy improves the probability that all emitting fluorophores will be detected, fitted and quantitatively evaluated.

Indexed as

AnimalsAutoantigensCell Cycle ProteinsCells, CulturedCentromere Protein AChromosomal Proteins, Non-HistoneDNA-Binding ProteinsEmbryonic Stem CellsImaging, Three-DimensionalMiceMicroscopy, FluorescenceMolecular ImagingSchizosaccharomyces pombe ProteinsTranscription FactorsAutoantigenscdc22 protein, S pombeCell Cycle ProteinsCentromere Protein AChromosomal Proteins, Non-HistoneDNA-Binding ProteinsMbd3 protein, mouseSchizosaccharomyces pombe ProteinsTranscription Factors

Identifiers

PMID25884495
PMCPMC4401716

What OpenQuestion holds

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LicenceCC BY
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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.