Evidence map›Paper›PMID 28424492›Full record

ArticleScientific reports2017

TestSTORM: Versatile simulator software for multimodal super-resolution localization fluorescence microscopy.

Tibor Novák, Tamás Gajdos, József Sinkó, Gábor Szabó, Miklós Erdélyi

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Cluster parameter-based DBSCAN maps for image characterization.Computational and structural biotechnology journal · 2025
    Article
  4. Triggered cagedSTORM microscopy.Biomedical optics express · 2024
    Article
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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

5 authors.

Tibor NovákDepartment of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, 6720, Szeged, Hungary.
Tamás GajdosDepartment of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, 6720, Szeged, Hungary.
József SinkóDepartment of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, 6720, Szeged, Hungary.
Gábor SzabóDepartment of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, 6720, Szeged, Hungary.
Miklós ErdélyiDepartment of Optics and Quantum Electronics, University of Szeged, Dóm tér 9, 6720, Szeged, Hungary. meerdelyi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimization of sample, imaging and data processing parameters is an essential task in localization based super-resolution microscopy, where the final image quality strongly depends on the imaging of single isolated fluorescent molecules. A computational solution that uses a simulator software for the generation of test data stacks was proposed, developed and tested. The implemented advanced physical models such as scalar and vector based point spread functions, polarization sensitive detection, drift, spectral crosstalk, structured background etc., made the simulation results more realistic and helped us interpret the final super-resolved images and distinguish between real structures and imaging artefacts.

Identifiers

PMID28424492
PMCPMC5430448

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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.