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Optical coherence tomography: A new strategy to image planarian regeneration

Overview of attention for article published in Scientific Reports, September 2014
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Article details
Title
Optical coherence tomography: A new strategy to image planarian regeneration
Published in
Scientific Reports, September 2014
DOI 10.1038/srep06316
Pubmed ID
Authors
Abstract

The planarian is widely used as a model for studying tissue regeneration. In this study, we used optical coherence tomography (OCT) for the real-time, high-resolution imaging of planarian tissue regeneration. Five planaria were sliced transversely to produce 5 head and 5 tail fragments. During a 2-week regeneration period, OCT images of the planaria were acquired to analyze the signal attenuation rates, intensity ratios, and image texture features (including contrast, correlation, homogeneity, energy, and entropy) to compare the primitive and regenerated tissues. In the head and tail fragments, the signal attenuation rates of the regenerated fragments decreased from -0.2 dB/μm to -0.05 dB/μm, between Day 1 and Day 6, and then increased to -0.2 dB/μm on Day 14. The intensity ratios decreased to approximately 0.8 on Day 6, and increased to between 0.8 and 0.9 on Day 14. The texture parameters of contrast, correlation, and homogeneity exhibited trends similar to the signal attenuation rates and intensity ratios during the planarian regeneration. The proposed OCT parameters might provide biological information regarding cell apoptosis and the formation of a mass of new cells during planarian regeneration. Therefore, OCT imaging is a potentially effective method for planarian studies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 5 14%
Student > Bachelor 3 8%
Student > Master 3 8%
Professor > Associate Professor 3 8%
Other 4 11%
Unknown 10 27%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 24%
Agricultural and Biological Sciences 6 16%
Environmental Science 2 5%
Physics and Astronomy 2 5%
Engineering 2 5%
Other 5 14%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 November 2015.
All research outputs
#17,733,724
of 22,772,779 outputs
Outputs from Scientific Reports
#86,729
of 122,899 outputs
Outputs of similar age
#160,825
of 238,982 outputs
Outputs of similar age from Scientific Reports
#489
of 700 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 122,899 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 700 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.