Evidence map›Paper›PMID 26333595›Full record

ArticleScientific reports2015

Novel approach for label free super-resolution imaging in far field.

Sergey A Alexandrov, James McGrath, Hrebesh Subhash, Francesca Boccafoschi, Cinzia Giannini, Martin Leahy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
1.5field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Functional imaging for regenerative medicine.Stem cell research & therapy · 2016
    Review
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

6 authors at 2 institutions in 2 countries.

Sergey A AlexandrovTissue Optics &Microcirculation Imaging Group, School of Physics, National University of Ireland, Galway, Ireland.
James McGrathTissue Optics &Microcirculation Imaging Group, School of Physics, National University of Ireland, Galway, Ireland.
Hrebesh SubhashTissue Optics &Microcirculation Imaging Group, School of Physics, National University of Ireland, Galway, Ireland.
Francesca BoccafoschiDepartment of Health Sciences, University of Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.
Cinzia GianniniInstitute of Crystallography, National Research Council, via Amendola 122/O, Bari 70126 Italy.
Martin LeahyTissue Optics &Microcirculation Imaging Group, School of Physics, National University of Ireland, Galway, Ireland.
Ollscoil na Gaillimhe – University of Galway · IEUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progress in the emerging areas of science and technology, such as bio- and nano-technologies, depends on development of corresponding techniques for imaging and probing the structures with high resolution. Recently, the far field diffraction resolution limit in the optical range has been circumvented and different methods of super-resolution optical microscopy have been developed. The importance of this breakthrough achievement has been recognized by Nobel Prize for Chemistry in 2014. However, the fluorescence based super-resolution techniques only function with fluorescent molecules (most of which are toxic and can destroy or lead to artificial results in living biological objects) and suffer from photobleaching. Here we show a new way to break the diffraction resolution limit, which is based on nano-sensitivity to internal structure. Instead of conventional image formation as 2D intensity distribution, in our approach images are formed as a result of comparison of the axial spatial frequency profiles, reconstructed for each image point. The proposed approach dramatically increases the lateral resolution even in presence of noise and allows objects to be imaged in their natural state, without any labels.

Identifiers

PMID26333595
PMCPMC4558609
OpenAlexW1247798603

What OpenQuestion holds

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LicenceCC BY
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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.