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Fast functional imaging of multiple brain regions in intact zebrafish larvae using Selective Plane Illumination Microscopy

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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6 X users
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1 peer review site

Citations

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182 Dimensions

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331 Mendeley
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1 CiteULike
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Title
Fast functional imaging of multiple brain regions in intact zebrafish larvae using Selective Plane Illumination Microscopy
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00065
Pubmed ID
Authors

Thomas Panier, Sebastián A. Romano, Raphaël Olive, Thomas Pietri, Germán Sumbre, Raphaël Candelier, Georges Debrégeas

Abstract

The optical transparency and the small dimensions of zebrafish at the larval stage make it a vertebrate model of choice for brain-wide in-vivo functional imaging. However, current point-scanning imaging techniques, such as two-photon or confocal microscopy, impose a strong limit on acquisition speed which in turn sets the number of neurons that can be simultaneously recorded. At 5 Hz, this number is of the order of one thousand, i.e., approximately 1-2% of the brain. Here we demonstrate that this limitation can be greatly overcome by using Selective-plane Illumination Microscopy (SPIM). Zebrafish larvae expressing the genetically encoded calcium indicator GCaMP3 were illuminated with a scanned laser sheet and imaged with a camera whose optical axis was oriented orthogonally to the illumination plane. This optical sectioning approach was shown to permit functional imaging of a very large fraction of the brain volume of 5-9-day-old larvae with single- or near single-cell resolution. The spontaneous activity of up to 5,000 neurons was recorded at 20 Hz for 20-60 min. By rapidly scanning the specimen in the axial direction, the activity of 25,000 individual neurons from 5 different z-planes (approximately 30% of the entire brain) could be simultaneously monitored at 4 Hz. Compared to point-scanning techniques, this imaging strategy thus yields a ≃20-fold increase in data throughput (number of recorded neurons times acquisition rate) without compromising the signal-to-noise ratio (SNR). The extended field of view offered by the SPIM method allowed us to directly identify large scale ensembles of neurons, spanning several brain regions, that displayed correlated activity and were thus likely to participate in common neural processes. The benefits and limitations of SPIM for functional imaging in zebrafish as well as future developments are briefly discussed.

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

Geographical breakdown

Country Count As %
Germany 4 1%
United States 3 <1%
United Kingdom 3 <1%
China 2 <1%
France 2 <1%
Portugal 1 <1%
Israel 1 <1%
Spain 1 <1%
India 1 <1%
Other 0 0%
Unknown 313 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 26%
Researcher 73 22%
Student > Master 35 11%
Student > Bachelor 17 5%
Professor > Associate Professor 14 4%
Other 41 12%
Unknown 65 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 25%
Neuroscience 68 21%
Physics and Astronomy 34 10%
Engineering 29 9%
Biochemistry, Genetics and Molecular Biology 20 6%
Other 28 8%
Unknown 69 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 October 2016.
All research outputs
#6,208,774
of 22,707,247 outputs
Outputs from Frontiers in Neural Circuits
#366
of 1,209 outputs
Outputs of similar age
#66,635
of 280,717 outputs
Outputs of similar age from Frontiers in Neural Circuits
#33
of 173 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 69% 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 280,717 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.