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High-resolution 3D imaging of whole organ after clearing: taking a new look at the zebrafish testis

Overview of attention for article published in Scientific Reports, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 news outlet
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6 X users

Citations

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28 Dimensions

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86 Mendeley
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Title
High-resolution 3D imaging of whole organ after clearing: taking a new look at the zebrafish testis
Published in
Scientific Reports, February 2017
DOI 10.1038/srep43012
Pubmed ID
Authors

Maxence Frétaud, Laurie Rivière, Élodie De Job, Stéphanie Gay, Jean-Jacques Lareyre, Jean-Stéphane Joly, Pierre Affaticati, Violette Thermes

Abstract

Zebrafish testis has become a powerful model for reproductive biology of teleostean fishes and other vertebrates and encompasses multiple applications in applied and basic research. Many studies have focused on 2D images, which is time consuming and implies extrapolation of results. Three-dimensional imaging of whole organs recently became an important challenge to better understand their architecture and allow cell enumeration. Several protocols have thus been developed to enhance sample transparency, a limiting step for imaging large biological samples. However, none of these methods has been applied to the zebrafish testis. We tested five clearing protocols to determine if some of them could be applied with only small modifications to the testis. We compared clearing efficiency at both macroscopic and microscopic levels. CUBIC and PACT were suitable for an efficient transparency, an optimal optical penetration, the GFP fluorescence preservation and avoiding meaningful tissue deformation. Finally, we succeeded in whole testis 3D capture at a cellular resolution with both CUBIC and PACT, which will be valuable in a standard workflow to investigate the 3D architecture of the testis and its cellular content. This paves the way for further development of high content phenotyping studies in several fields including development, genetic or toxicology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 26%
Researcher 14 16%
Student > Master 7 8%
Student > Bachelor 7 8%
Student > Doctoral Student 4 5%
Other 15 17%
Unknown 17 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 34%
Medicine and Dentistry 10 12%
Biochemistry, Genetics and Molecular Biology 9 10%
Neuroscience 5 6%
Engineering 3 3%
Other 9 10%
Unknown 21 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2021.
All research outputs
#2,422,020
of 22,955,959 outputs
Outputs from Scientific Reports
#21,127
of 123,945 outputs
Outputs of similar age
#48,046
of 309,434 outputs
Outputs of similar age from Scientific Reports
#847
of 4,490 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 4,490 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.