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CellProfiler: Novel Automated Image Segmentation Procedure for Super-Resolution Microscopy

Overview of attention for article published in Biological Procedures Online, August 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)

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6 X users

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44 Mendeley
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Title
CellProfiler: Novel Automated Image Segmentation Procedure for Super-Resolution Microscopy
Published in
Biological Procedures Online, August 2015
DOI 10.1186/s12575-015-0023-9
Pubmed ID
Authors

Kareem Soliman

Abstract

Super resolution (SR) microscopy enabled cell biologists to visualize subcellular details up to 20 nm in resolution. This breakthrough in spatial resolution made image analysis a challenging procedure. Direct and automated segmentation of SR images remains largely unsolved, especially when it comes to providing meaningful biological interpretations. Here, we introduce a novel automated imaging analysis routine, based on Gaussian, followed by a segmentation procedure using CellProfiler software (www.cellprofiler.org). We tested this method and succeeded to segment individual nuclear pore complexes stained with gp210 and pan-FG proteins and captured by two-color STED microscopy. Test results confirmed accuracy and robustness of the method even in noisy STED images of gp210. Our pipeline and novel segmentation procedure may benefit end-users of SR microscopy to analyze their images and extract biologically significant quantitative data about them in user-friendly and fully-automated settings.

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

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Switzerland 2 5%
Germany 1 2%
Netherlands 1 2%
Unknown 38 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 8 18%
Student > Bachelor 6 14%
Student > Postgraduate 4 9%
Student > Master 4 9%
Other 3 7%
Unknown 8 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 30%
Biochemistry, Genetics and Molecular Biology 7 16%
Physics and Astronomy 4 9%
Chemistry 3 7%
Engineering 2 5%
Other 7 16%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 August 2015.
All research outputs
#7,849,331
of 25,374,917 outputs
Outputs from Biological Procedures Online
#63
of 192 outputs
Outputs of similar age
#84,780
of 275,836 outputs
Outputs of similar age from Biological Procedures Online
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 192 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 67% 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 275,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them