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A multi-channel device for high-density target-selective stimulation and long-term monitoring of cells and subcellular features in C. elegans

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
A multi-channel device for high-density target-selective stimulation and long-term monitoring of cells and subcellular features in C. elegans
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
DOI 10.1039/c4lc00789a
Pubmed ID
Authors

Hyewon Lee, Shin Ae Kim, Sean Coakley, Paula Mugno, Marc Hammarlund, Massimo A. Hilliard, Hang Lu

Abstract

Selective cell ablation can be used to identify neuronal functions in multicellular model organisms such as Caenorhabditis elegans. The optogenetic tool KillerRed facilitates selective ablation by enabling light-activated damage of cell or subcellular components in a temporally and spatially precise manner. However, the use of KillerRed requires stimulating (5 min-1 h), culturing (~24 h) and imaging (often repeatedly) a large number of individual animals. Current manual manipulation methods are limited by their time-consuming, labor-intensive nature, and their usage of anesthetics. To facilitate large-scale selective ablation, culturing, and repetitive imaging, we developed a densely-packed multi-channel device and used it to perform high-throughput neuronal ablation on KillerRed-expressing animals. The ability to load worms in identical locations with high loading efficiency allows us to ablate selected neurons in multiple worms simultaneously. Our device also enables continuous observation of animals for 24 h following KillerRed activation, and allows the animals to be recovered for behavioural assays. We expect this multi-channel device to facilitate a broad range of long-term imaging and selective illumination experiments in neuroscience.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 47%
Researcher 11 15%
Student > Master 7 10%
Student > Bachelor 5 7%
Student > Doctoral Student 4 5%
Other 5 7%
Unknown 7 10%
Readers by discipline Count As %
Engineering 33 45%
Biochemistry, Genetics and Molecular Biology 10 14%
Chemical Engineering 7 10%
Agricultural and Biological Sciences 6 8%
Neuroscience 3 4%
Other 5 7%
Unknown 9 12%
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 01 July 2015.
All research outputs
#7,107,168
of 25,604,262 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#2,271
of 5,964 outputs
Outputs of similar age
#76,780
of 320,366 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#134
of 358 outputs
Altmetric has tracked 25,604,262 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 5,964 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 61% 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 320,366 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 75% of its contemporaries.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.