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Multi-point Scanning Two-photon Excitation Microscopy by Utilizing a High-peak-power 1042-nm Laser

Overview of attention for article published in Analytical Sciences, April 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users
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1 Facebook page
video
1 YouTube creator

Citations

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30 Dimensions

Readers on

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43 Mendeley
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Title
Multi-point Scanning Two-photon Excitation Microscopy by Utilizing a High-peak-power 1042-nm Laser
Published in
Analytical Sciences, April 2015
DOI 10.2116/analsci.31.307
Pubmed ID
Authors

Kohei Otomo, Terumasa Hibi, Takashi Murata, Hirotaka Watanabe, Ryosuke Kawakami, Hiroshi Nakayama, Mitsuyasu Hasebe, Tomomi Nemoto

Abstract

The temporal resolution of a two-photon excitation laser scanning microscopy (TPLSM) system is limited by the excitation laser beam's scanning speed. To improve the temporal resolution, the TPLSM system is equipped with a spinning-disk confocal scanning unit. However, the insufficient energy of a conventional Ti:sapphire laser source restricts the field of view (FOV) for TPLSM images to a narrow region. Therefore, we introduced a high-peak-power Yb-based laser in order to enlarge the FOV. This system provided three-dimensional imaging of a sufficiently deep and wide region of fixed mouse brain slices, clear four-dimensional imaging of actin dynamics in live mammalian cells and microtubule dynamics during mitosis and cytokinesis in live plant cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 5 12%
Other 4 9%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Other 7 16%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 16%
Neuroscience 7 16%
Physics and Astronomy 7 16%
Biochemistry, Genetics and Molecular Biology 5 12%
Engineering 3 7%
Other 3 7%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 June 2015.
All research outputs
#13,082,469
of 22,799,071 outputs
Outputs from Analytical Sciences
#572
of 900 outputs
Outputs of similar age
#122,602
of 264,200 outputs
Outputs of similar age from Analytical Sciences
#3
of 12 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 900 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 264,200 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 53% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.