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Optically induced dielectropheresis sorting with automated medium exchange in an integrated optofluidic device resulting in higher cell viability

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
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Article details
Title
Optically induced dielectropheresis sorting with automated medium exchange in an integrated optofluidic device resulting in higher cell viability
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
DOI 10.1039/c4lc00466c
Pubmed ID
Authors
Abstract

We demonstrated the integration of a microfluidic device with an optically induced dielectrophoresis (ODEP) device such that the critical medium replacement process was performed automatically and the cells could be subsequently manipulated by using digitally projected optical images. ODEP has been demonstrated to generate sufficient forces for manipulating particles/cells by projecting a light pattern onto photoconductive materials which creates virtual electrodes. The production of the ODEP force usually requires a medium that has a suitable electrical conductivity and an appropriate dielectric constant. Therefore, a 0.2 M sucrose solution is commonly used. However, this requires a complicated medium replacement process before one is able to manipulate cells. Furthermore, the 0.2 M sucrose solution is not suitable for the long-term viability of cells. In comparison to conventional manual processes, our automated medium replacement process only took 25 minutes. Experimental data showed that there was up to a 96.2% recovery rate for the manipulated cells. More importantly, the survival rate of the cells was greatly enhanced due to this faster automated process. This newly developed microfluidic chip provided a promising platform for the rapid replacement of the cell medium and this was also the first time that an ODEP device was integrated with other active flow control components in a microfluidic device. By improving cell viability after cell manipulation, this design may contribute to the practical integration of ODEP modules into other lab-on-a-chip devices and biomedical applications in the future.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Japan 1 3%
Canada 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 5 14%
Student > Bachelor 4 11%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Other 4 11%
Unknown 6 17%
Readers by discipline
Readers by discipline Count As %
Engineering 14 39%
Medicine and Dentistry 6 17%
Agricultural and Biological Sciences 4 11%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 8 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2014.
All research outputs
#24,754,523
of 34,361,833 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#5,744
of 7,112 outputs
Outputs of similar age
#267,567
of 373,046 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#295
of 365 outputs
Altmetric has tracked 34,361,833 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,112 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 14th percentile – i.e., 14% 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 373,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 365 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.