Evidence map›Paper›PMID 26977360›Full record

ArticleBiomedical optics express2016

Functional second harmonic generation microscopy probes molecular dynamics with high temporal resolution.

Moritz Förderer, Tihomir Georgiev, Matias Mosqueira, Rainer H A Fink, Martin Vogel

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Moritz FördererMedical Biophysics Unit, Institute for Physiology and Pathophysiology, University of Heidelberg, Heidelberg, Germany; m.foerderer@physiologie.uni-heidelberg.de.
Tihomir GeorgievMedical Biophysics Unit, Institute for Physiology and Pathophysiology, University of Heidelberg, Heidelberg, Germany.
Matias MosqueiraMedical Biophysics Unit, Institute for Physiology and Pathophysiology, University of Heidelberg, Heidelberg, Germany.
Rainer H A FinkMedical Biophysics Unit, Institute for Physiology and Pathophysiology, University of Heidelberg, Heidelberg, Germany.
Martin VogelMedical Biophysics Unit, Institute for Physiology and Pathophysiology, University of Heidelberg, Heidelberg, Germany; Current address: Max Planck Institute of Biophysics, Frankfurt/Main, Germany; martin.vogel@biophys.mpg.de.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Second harmonic generation (SHG) microscopy is a powerful tool for label free ex vivo or in vivo imaging, widely used to investigate structure and organization of endogenous SHG emitting proteins such as myosin or collagen. Polarization resolved SHG microscopy renders supplementary information and is used to probe different molecular states. This development towards functional SHG microscopy is calling for new methods for high speed functional imaging of dynamic processes. In this work we present two approaches with linear polarized light and demonstrate high speed line scan measurements of the molecular dynamics of the motor protein myosin with a time resolution of 1 ms in mammalian muscle cells. Such a high speed functional SHG microscopy has high potential to deliver new insights into structural and temporal molecular dynamics under ex vivo or in vivo conditions.

Indexed as

(170.2655) Functional monitoring and imaging(180.4315) Nonlinear microscopy(190.2620) Harmonic generation and mixing

Identifiers

PMID26977360
PMCPMC4771469
OpenAlexW2243940705

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.