Evidence map›Paper›PMID 29188105›Full record

ArticleBiomedical optics express2017

Adaptive optics stochastic optical reconstruction microscopy (AO-STORM) by particle swarm optimization.

Kayvan F Tehrani, Yiwen Zhang, Ping Shen, Peter Kner

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

4 authors.

Kayvan F TehraniCollege of Engineering, University of Georgia, Athens, GA 30602, USA.
Yiwen ZhangDepartment of Cellular Biology, University of Georgia, Athens, GA 30602, USA.
Ping ShenDepartment of Cellular Biology, University of Georgia, Athens, GA 30602, USA.
Peter KnerCollege of Engineering, University of Georgia, Athens, GA 30602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stochastic optical reconstruction microscopy (STORM) can achieve resolutions of better than 20nm imaging single fluorescently labeled cells. However, when optical aberrations induced by larger biological samples degrade the point spread function (PSF), the localization accuracy and number of localizations are both reduced, destroying the resolution of STORM. Adaptive optics (AO) can be used to correct the wavefront, restoring the high resolution of STORM. A challenge for AO-STORM microscopy is the development of robust optimization algorithms which can efficiently correct the wavefront from stochastic raw STORM images. Here we present the implementation of a particle swarm optimization (PSO) approach with a Fourier metric for real-time correction of wavefront aberrations during STORM acquisition. We apply our approach to imaging boutons 100 μm deep inside the central nervous system (CNS) of

Indexed as

(010.7350) Wave-front sensing(100.3008) Image recognition, algorithms and filters(110.7348) Aberration compensation(180.2520) Fluorescence microscopy(220.1080) Active or adaptive optics

Identifiers

PMID29188105
PMCPMC5695955

What OpenQuestion holds

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Registered trials

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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.