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Observation of laser pulse propagation in optical fibers with a SPAD camera

Overview of attention for article published in Scientific Reports, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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68 X users

Citations

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15 Dimensions

Readers on

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29 Mendeley
Title
Observation of laser pulse propagation in optical fibers with a SPAD camera
Published in
Scientific Reports, March 2017
DOI 10.1038/srep43302
Pubmed ID
Authors

Ryan Warburton, Constantin Aniculaesei, Matteo Clerici, Yoann Altmann, Genevieve Gariepy, Richard McCracken, Derryck Reid, Steve McLaughlin, Marco Petrovich, John Hayes, Robert Henderson, Daniele Faccio, Jonathan Leach

Abstract

Recording processes and events that occur on sub-nanosecond timescales poses a difficult challenge. Conventional ultrafast imaging techniques often rely on long data collection times, which can be due to limited device sensitivity and/or the requirement of scanning the detection system to form an image. In this work, we use a single-photon avalanche detector array camera with pico-second timing accuracy to detect photons scattered by the cladding in optical fibers. We use this method to film supercontinuum generation and track a GHz pulse train in optical fibers. We also show how the limited spatial resolution of the array can be improved with computational imaging. The single-photon sensitivity of the camera and the absence of scanning the detection system results in short total acquisition times, as low as a few seconds depending on light levels. Our results allow us to calculate the group index of different wavelength bands within the supercontinuum generation process. This technology can be applied to a range of applications, e.g., the characterization of ultrafast processes, time-resolved fluorescence imaging, three-dimensional depth imaging, and tracking hidden objects around a corner.

X Demographics

X Demographics

The data shown below were collected from the profiles of 68 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Ph. D. Student 4 14%
Professor > Associate Professor 3 10%
Professor 2 7%
Other 2 7%
Other 3 10%
Unknown 10 34%
Readers by discipline Count As %
Physics and Astronomy 10 34%
Engineering 6 21%
Materials Science 1 3%
Psychology 1 3%
Unknown 11 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 October 2018.
All research outputs
#756,174
of 25,011,749 outputs
Outputs from Scientific Reports
#8,185
of 137,129 outputs
Outputs of similar age
#15,812
of 313,544 outputs
Outputs of similar age from Scientific Reports
#340
of 4,603 outputs
Altmetric has tracked 25,011,749 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 137,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 94% 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 313,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 4,603 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.