Evidence map›Paper›PMID 28484239›Full record

ArticleScientific reports2017

A simple and cost-effective setup for super-resolution localization microscopy.

Hongqiang Ma, Rao Fu, Jianquan Xu, Yang Liu

Open access · goldAbstract 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 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
12.6field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
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  15. Article
  16. Single-molecule localization microscopy.Nature reviews. Methods primers · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. PathSTORM: a road to early cancer detection.Molecular & cellular oncology · 2020
    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

4 authors at 2 institutions in 3 countries.

Hongqiang MaBiomedical and Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA. hongqiang.ma@pitt.edu.ORCID 0000-0003-1967-3777
Rao FuBiomedical and Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Jianquan XuBiomedical and Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Yang LiuBiomedical and Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.ORCID 0000-0002-6388-9674
University of Pittsburgh · USElectric Power University · VN

Funding

Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2016 to 2020
$5.9M
Novel Nanoscale Single-Cell Analysis of Exfoliative CytologyR01EB016657 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2013 to 2016
$1.3M
(PQC2)Nanoscale changes in 3D nuclear architecture during breast tumorigenesisR01CA185363 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2014 to 2017
$1.3M
NCI NIH HHS R01 CA185363NIBIB NIH HHS R01 EB016657NICHD NIH HHS U54 HD090257
6 · The paper itself

Abstract

Single molecule localization microscopy (SMLM) has become a powerful imaging tool for biomedical research, but it is mostly available in imaging facilities and a small number of laboratories due to its high cost. Here, we evaluate the possibility of replacing high-cost components on standard SMLM with appropriate low-cost alternatives and build a simple but high-performance super-resolution SMLM setup. Through numerical simulation and biological experiments, we demonstrate that our low-cost SMLM setup can yield similar localization precision and spatial resolution compared to the standard SMLM equipped with state-of-the-art components, but at a small fraction of their cost. Our low-cost SMLM setup can potentially serve as a routine laboratory microscope with high-performance super-resolution imaging capability.

Indexed as

Cost-Benefit AnalysisAcetylationAnimalsComputer SimulationEmbryo, MammalianFibroblastsHistonesHumansImaging, Three-DimensionalLasersMiceMicrotubulesNanoparticlesPhotographySingle Molecule ImagingHistones

Identifiers

PMID28484239
PMCPMC5431525
OpenAlexW2610929618

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.