Evidence map›Paper›PMID 27303635›Full record

ReviewF1000Research2016

Focusing super resolution on the cytoskeleton.

Eric A Shelden, Zachary T Colburn, Jonathan C R Jones

Open access · goldAbstract readReview
In one paragraph

Review in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Vimentin Intermediate Filaments: A Paradigm Shift From Static Structure to Dynamic Cytoplasmic Network.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Cortical Actin Dynamics in Endothelial Permeability.Current topics in membranes · 2018
    Article
  6. Mitochondrial Nanotunnels.Trends in cell biology · 2017
    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

3 authors at 1 institution in 1 country.

Eric A SheldenSchool of Molecular Biosciences, Washington State University, Pullman, WA, USA.
Zachary T ColburnSchool of Molecular Biosciences, Washington State University, Pullman, WA, USA.
Jonathan C R JonesSchool of Molecular Biosciences, Washington State University, Pullman, WA, USA.
Washington State University · US

Funding

Keratinocyte Migration and Wound HealingR01AR054184 · NIAMS · WASHINGTON STATE UNIVERSITY · PI JONES, JONATHAN C. · 2006 to 2015
$3.3M
NIAMS NIH HHS R01 AR054184
6 · The paper itself

Abstract

Super resolution imaging is becoming an increasingly important tool in the arsenal of methods available to cell biologists. In recognition of its potential, the Nobel Prize for chemistry was awarded to three investigators involved in the development of super resolution imaging methods in 2014. The availability of commercial instruments for super resolution imaging has further spurred the development of new methods and reagents designed to take advantage of super resolution techniques. Super resolution offers the advantages traditionally associated with light microscopy, including the use of gentle fixation and specimen preparation methods, the ability to visualize multiple elements within a single specimen, and the potential to visualize dynamic changes in living specimens over time. However, imaging of living cells over time is difficult and super resolution imaging is computationally demanding. In this review, we discuss the advantages/disadvantages of different super resolution systems for imaging fixed live specimens, with particular regard to cytoskeleton structures.

Indexed as

cytoskeletonlive cell imagingmicroscopy

Identifiers

PMID27303635
PMCPMC4882751
OpenAlexW2397119116

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.