Evidence map›Paper›PMID 27064647›Full record

ArticleNature methods2016

Expansion microscopy with conventional antibodies and fluorescent proteins.

Tyler J Chozinski, Aaron R Halpern, Haruhisa Okawa, Hyeon-Jin Kim, Grant J Tremel, Rachel O L Wong, Joshua C Vaughan

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed
54.4field-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

236 citing papers in PubMed, 472 citations in OpenAlex.

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  10. High-throughput, organ-scale 3D tubule tracking using TubuleMAP.bioRxiv : the preprint server for biology · 2026
    Article
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  14. Review
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176 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Tyler J ChozinskiDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Aaron R HalpernDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Haruhisa OkawaDepartment of Biological Structure, University of Washington, Seattle, Washington, USA.
Hyeon-Jin KimDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Grant J TremelDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Rachel O L WongDepartment of Biological Structure, University of Washington, Seattle, Washington, USA.
Joshua C VaughanDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
University of Washington · US

Funding

INTERCELLULAR COMMUNICATION IN RETINAL DEVELOPMENTR01EY010699 · NEI · WASHINGTON UNIVERSITY · PI WONG, RACHEL O · 1994 to 2024
$8.6M
Circuit Assembly in the Vertebrate Retina-SupplementR01EY017101 · NEI · UNIVERSITY OF WASHINGTON · PI WONG, RACHEL O · 2006 to 2020
$4.7M
NEI NIH HHS R01 EY010699NEI NIH HHS R01 EY017101Wellcome Trust
6 · The paper itself

Abstract

Expansion microscopy is a technique in which fluorophores on fixed specimens are linked to a swellable polymer that is physically expanded to enable super-resolution microscopy with ordinary microscopes. We have developed and characterized new methods for linking fluorophores to the polymer that now enable expansion microscopy with conventional fluorescently labeled antibodies and fluorescent proteins. Our methods simplify the procedure and expand the palette of compatible labels, allowing rapid dissemination of the technique.

Indexed as

Antibodies, MonoclonalLuminescent ProteinsAnimalsBrainCell LineImage EnhancementMice, Inbred C57BLMicroscopy, ConfocalMicroscopy, FluorescenceReproducibility of ResultsSensitivity and SpecificityStaining and LabelingTransfectionAntibodies, MonoclonalLuminescent Proteins

Identifiers

PMID27064647
PMCPMC4929147
OpenAlexW2317883772

What OpenQuestion holds

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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.