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Resealable, optically accessible, PDMS-free fluidic platform for ex vivo interrogation of pancreatic islets

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2017
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Article details
Title
Resealable, optically accessible, PDMS-free fluidic platform for ex vivo interrogation of pancreatic islets
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2017
DOI 10.1039/c6lc01504b
Pubmed ID
Authors
Abstract

We report the design and fabrication of a robust fluidic platform built out of inert plastic materials and micromachined features that promote optimized convective fluid transport. The platform is tested for perfusion interrogation of rodent and human pancreatic islets, dynamic secretion of hormones, concomitant live-cell imaging, and optogenetic stimulation of genetically engineered islets. A coupled quantitative fluid dynamics computational model of glucose stimulated insulin secretion and fluid dynamics was first utilized to design device geometries that are optimal for complete perfusion of three-dimensional islets, effective collection of secreted insulin, and minimization of system volumes and associated delays. Fluidic devices were then fabricated through rapid prototyping techniques, such as micromilling and laser engraving, as two interlocking parts from materials that are non-absorbent and inert. Finally, the assembly was tested for performance using both rodent and human islets with multiple assays conducted in parallel, such as dynamic perfusion, staining and optogenetics on standard microscopes, as well as for integration with commercial perfusion machines. The optimized design of convective fluid flows, use of bio-inert and non-absorbent materials, reversible assembly, manual access for loading and unloading of islets, and straightforward integration with commercial imaging and fluid handling systems proved to be critical for perfusion assay, and particularly suited for time-resolved optogenetics studies.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 2 2%
United States 1 <1%
Italy 1 <1%
Unknown 108 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 26%
Researcher 18 16%
Student > Master 10 9%
Student > Bachelor 9 8%
Student > Doctoral Student 8 7%
Other 14 13%
Unknown 24 21%
Readers by discipline
Readers by discipline Count As %
Engineering 26 23%
Biochemistry, Genetics and Molecular Biology 17 15%
Agricultural and Biological Sciences 13 12%
Chemistry 7 6%
Medicine and Dentistry 4 4%
Other 15 13%
Unknown 30 27%
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 18 February 2017.
All research outputs
#22,340,091
of 34,400,738 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#5,261
of 7,116 outputs
Outputs of similar age
#282,794
of 462,732 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#248
of 296 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,116 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 25th percentile – i.e., 25% 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 462,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.