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Fast, high-contrast imaging of animal development with scanned light sheet–based structured-illumination microscopy

Overview of attention for article published in Nature Methods, July 2010
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
3 blogs
twitter
3 X users
patent
21 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
471 Dimensions

Readers on

mendeley
728 Mendeley
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7 CiteULike
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1 Connotea
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Title
Fast, high-contrast imaging of animal development with scanned light sheet–based structured-illumination microscopy
Published in
Nature Methods, July 2010
DOI 10.1038/nmeth.1476
Pubmed ID
Authors

Philipp J Keller, Annette D Schmidt, Anthony Santella, Khaled Khairy, Zhirong Bao, Joachim Wittbrodt, Ernst H K Stelzer

Abstract

Recording light-microscopy images of large, nontransparent specimens, such as developing multicellular organisms, is complicated by decreased contrast resulting from light scattering. Early zebrafish development can be captured by standard light-sheet microscopy, but new imaging strategies are required to obtain high-quality data of late development or of less transparent organisms. We combined digital scanned laser light-sheet fluorescence microscopy with incoherent structured-illumination microscopy (DSLM-SI) and created structured-illumination patterns with continuously adjustable frequencies. Our method discriminates the specimen-related scattered background from signal fluorescence, thereby removing out-of-focus light and optimizing the contrast of in-focus structures. DSLM-SI provides rapid control of the illumination pattern, exceptional imaging quality and high imaging speeds. We performed long-term imaging of zebrafish development for 58 h and fast multiple-view imaging of early Drosophila melanogaster development. We reconstructed cell positions over time from the Drosophila DSLM-SI data and created a fly digital embryo.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 728 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 14 2%
United States 14 2%
United Kingdom 13 2%
France 5 <1%
Switzerland 3 <1%
Japan 3 <1%
China 3 <1%
Chile 2 <1%
Portugal 2 <1%
Other 17 2%
Unknown 652 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 222 30%
Researcher 165 23%
Student > Master 75 10%
Student > Bachelor 51 7%
Professor > Associate Professor 37 5%
Other 107 15%
Unknown 71 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 214 29%
Physics and Astronomy 155 21%
Engineering 103 14%
Biochemistry, Genetics and Molecular Biology 64 9%
Neuroscience 33 5%
Other 75 10%
Unknown 84 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 30 January 2024.
All research outputs
#1,042,471
of 22,711,242 outputs
Outputs from Nature Methods
#1,339
of 4,896 outputs
Outputs of similar age
#3,226
of 94,100 outputs
Outputs of similar age from Nature Methods
#4
of 42 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,896 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.5. This one has gotten more attention than average, scoring higher than 72% 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 94,100 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 96% of its contemporaries.
We're also able to compare this research output to 42 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 90% of its contemporaries.