Evidence map›Paper›PMID 30224671›Full record

ArticleNature methods2018

Template-free 2D particle fusion in localization microscopy.

Hamidreza Heydarian, Florian Schueder, Maximilian T Strauss, Ben van Werkhoven, Mohamadreza Fazel, Keith A Lidke, Ralf Jungmann, Sjoerd Stallinga, Bernd Rieger

Abstract read
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In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hamidreza HeydarianDepartment of Imaging Physics, Delft University of Technology, Delft, the Netherlands.ORCID http://orcid.org/0000-0003-1341-3165
Florian SchuederDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Maximilian T StraussDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Ben van WerkhovenNetherlands eScience Center, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-7508-3272
Mohamadreza FazelDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA.
Keith A LidkeDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA.ORCID http://orcid.org/0000-0002-9328-4318
Ralf JungmannDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.ORCID http://orcid.org/0000-0003-4607-3312
Sjoerd StallingaDepartment of Imaging Physics, Delft University of Technology, Delft, the Netherlands.
Bernd RiegerDepartment of Imaging Physics, Delft University of Technology, Delft, the Netherlands. b.rieger@tudelft.nl.ORCID http://orcid.org/0000-0001-9215-9307

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI LIDKE, KEITH A · 2009 to 2018
$26.1M
Multi-target super-resolution imaging using sequential labelingR21EB019589 · NIBIB · UNIVERSITY OF NEW MEXICO · PI LIDKE, KEITH A · 2015 to 2016
$390k
NIBIB NIH HHS R21 EB019589NIGMS NIH HHS P50 GM085273
6 · The paper itself

Abstract

Methods that fuse multiple localization microscopy images of a single structure can improve signal-to-noise ratio and resolution, but they generally suffer from template bias or sensitivity to registration errors. We present a template-free particle-fusion approach based on an all-to-all registration that provides robustness against individual misregistrations and underlabeling. We achieved 3.3-nm Fourier ring correlation (FRC) image resolution by fusing 383 DNA origami nanostructures with 80% labeling density, and 5.0-nm resolution for structures with 30% labeling density.

Indexed as

DNAHumansImage Processing, Computer-AssistedMicroscopy, FluorescenceNanostructuresSignal-To-Noise RatioSingle Molecule ImagingDNA

Identifiers

What OpenQuestion holds

Textmetadata
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.