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Visualization of the 3D structures of small organisms via LED-SIM

Overview of attention for article published in Frontiers in Zoology, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 news outlet
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6 X users

Citations

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5 Dimensions

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41 Mendeley
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Title
Visualization of the 3D structures of small organisms via LED-SIM
Published in
Frontiers in Zoology, June 2016
DOI 10.1186/s12983-016-0158-9
Pubmed ID
Authors

Yongying Ruan, Dan Dan, Mengna Zhang, Ming Bai, Ming Lei, Baoli Yao, Xingke Yang

Abstract

Innovative new techniques that aid in the visualization of microscopic anatomical structures have improved our understanding of organismal biology significantly. It is often challenging to observe internal 3D structures, despite the use of techniques such as confocal laser scanning microscopy (CLSM), micro-computed tomography (Micro-CT), magnetic resonance imaging (MRI), focused ion beam scanning electron microscopy (FIB-SEM) and others. In the current paper, we assess LED-SIM (DMD-based LED-illumination structured illumination microscopy), which facilitates the acquisition of nano- and micro-3D structures of small organisms in a high-resolution format (500 nm in the XY-plane and 930 nm along the Z-axis). We compare other microstructural imaging techniques (involving conventional optical microscopy, CLSM and Micro-CT) with LED-SIM to assess the quality (e.g. resolution, penetration depth, etc.) of LED-SIM images, as well as to document the potential short-comings of LED-SIM. Based on these results we present an optimized set of protocols to ensure that LED-SIM arthropod and nematode samples with different cuticles or textures are prepared for analysis in an optimal manner. Six arthropod and nematode specimens were tested and shown to be suitable for LED-SIM imaging, which was found to yield high resolution 3D images. Although LED-SIM still must be thoroughly tested before it is widely accepted and the Z-axis resolution still requires improvement, this technique offers distinct high quality 3D images. LED-SIM can be highly effective and may provide high quality 3D images for zoological studies following the guidelines of sample preparation presented in the current paper.

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 5%
United States 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Ph. D. Student 6 15%
Student > Bachelor 5 12%
Student > Doctoral Student 4 10%
Student > Master 3 7%
Other 7 17%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 41%
Physics and Astronomy 7 17%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Unspecified 1 2%
Other 4 10%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 23 January 2017.
All research outputs
#2,713,257
of 22,877,793 outputs
Outputs from Frontiers in Zoology
#169
of 652 outputs
Outputs of similar age
#50,750
of 352,714 outputs
Outputs of similar age from Frontiers in Zoology
#5
of 15 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one has gotten more attention than average, scoring higher than 73% 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 352,714 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 85% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.