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Label-free volumetric optical imaging of intact murine brains

Overview of attention for article published in Scientific Reports, April 2017
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Title
Label-free volumetric optical imaging of intact murine brains
Published in
Scientific Reports, April 2017
DOI 10.1038/srep46306
Pubmed ID
Authors

Jian Ren, Heejin Choi, Kwanghun Chung, Brett E. Bouma

Abstract

A central effort of today's neuroscience is to study the brain's 'wiring diagram'. The nervous system is believed to be a network of neurons interacting with each other through synaptic connection between axons and dendrites, therefore the neuronal connectivity map not only depicts the underlying anatomy, but also has important behavioral implications. Different approaches have been utilized to decipher neuronal circuits, including electron microscopy (EM) and light microscopy (LM). However, these approaches typically demand extensive sectioning and reconstruction for a brain sample. Recently, tissue clearing methods have enabled the investigation of a fully assembled biological system with greatly improved light penetration. Yet, most of these implementations, still require either genetic or exogenous contrast labeling for light microscopy. Here we demonstrate a high-speed approach, termed as Clearing Assisted Scattering Tomography (CAST), where intact brains can be imaged at optical resolution without labeling by leveraging tissue clearing and the scattering contrast of optical frequency domain imaging (OFDI).

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 13 23%
Student > Bachelor 6 11%
Other 4 7%
Student > Master 4 7%
Other 8 14%
Unknown 7 12%
Readers by discipline Count As %
Engineering 14 25%
Neuroscience 11 19%
Agricultural and Biological Sciences 8 14%
Biochemistry, Genetics and Molecular Biology 4 7%
Physics and Astronomy 3 5%
Other 5 9%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2017.
All research outputs
#13,547,128
of 22,963,381 outputs
Outputs from Scientific Reports
#61,390
of 123,975 outputs
Outputs of similar age
#159,173
of 310,001 outputs
Outputs of similar age from Scientific Reports
#2,100
of 4,227 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,975 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 48th percentile – i.e., 48% 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 310,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,227 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.