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An easy-to-build and re-usable microfluidic system for live-cell imaging

Overview of attention for article published in BMC Cell Biology, June 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

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6 tweeters

Citations

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7 Dimensions

Readers on

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55 Mendeley
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Title
An easy-to-build and re-usable microfluidic system for live-cell imaging
Published in
BMC Cell Biology, June 2018
DOI 10.1186/s12860-018-0158-z
Pubmed ID
Authors

Julien Babic, Laurent Griscom, Jeremy Cramer, Damien Coudreuse

Abstract

Real-time monitoring of cellular responses to dynamic changes in their environment or to specific treatments has become central to cell biology. However, when coupled to live-cell imaging, such strategies are difficult to implement with precision and high time resolution, and the simultaneous alteration of multiple parameters is a major challenge. Recently, microfluidics has provided powerful solutions for such analyses, bringing an unprecedented level of control over the conditions and the medium in which cells under microscopic observation are grown. However, such technologies have remained under-exploited, largely as a result of the complexity associated with microfabrication procedures. In this study, we have developed simple but powerful microfluidic devices dedicated to live-cell imaging. These microsystems take advantage of a robust elastomer that is readily available to researchers and that presents excellent bonding properties, in particular to microscopy-grade glass coverslips. Importantly, the chips are easy-to-build without sophisticated equipment, and they are compatible with the integration of complex, customized fluidic networks as well as with the multiplexing of independent assays on a single device. We show that the chips are re-usable, a significant advantage for the popularization of microfluidics in cell biology. Moreover, we demonstrate that they allow for the dynamic, accurate and simultaneous control of multiple parameters of the cellular environment. While they do not possess all the features of the microdevices that are built using complex and costly procedures, the simplicity and versatility of the chips that we have developed make them an attractive alternative for a range of applications. The emergence of such devices, which can be fabricated and used by any laboratory, will provide the possibility for a larger number of research teams to take full advantage of these new methods for investigating cell biology.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 24%
Student > Ph. D. Student 11 20%
Student > Bachelor 5 9%
Student > Doctoral Student 5 9%
Researcher 4 7%
Other 5 9%
Unknown 12 22%
Readers by discipline Count As %
Engineering 9 16%
Agricultural and Biological Sciences 8 15%
Biochemistry, Genetics and Molecular Biology 6 11%
Physics and Astronomy 5 9%
Medicine and Dentistry 4 7%
Other 10 18%
Unknown 13 24%

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 23 June 2018.
All research outputs
#7,183,966
of 13,565,702 outputs
Outputs from BMC Cell Biology
#141
of 290 outputs
Outputs of similar age
#117,505
of 267,421 outputs
Outputs of similar age from BMC Cell Biology
#1
of 1 outputs
Altmetric has tracked 13,565,702 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 290 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 50% 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 267,421 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 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them