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https://zenodo.org/record/1149...
Article
License: CC BY
Data sources: UnpayWall
https://doi.org/10.1109/mwsym....
Article . 2017 . Peer-reviewed
Data sources: Crossref
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Biological cell discrimination based on their high frequency dielectropheretic signatures at UHF frequencies

Authors: Hjeij, F.; Dalmay, C.; Bessette, B.; Begaud, G.; Bessaudou, A.; Blondy, Pierre; Jauberteau, M. O.; +6 Authors

Biological cell discrimination based on their high frequency dielectropheretic signatures at UHF frequencies

Abstract

This paper reports on the application of dielectrophoresis techniques in the radiofrequency range, in order to probe inner dielectric specificities and therefore characterize individual biological cells. The novelty of this work consists in exploring the capability of UHF signals to generate DEP-driven motion effects on flowing biological cells in a microfluidic micro-device. Additionally, with applied signals above 50MHz, distinct cross-over frequencies can be identified as function of both the cell type and the difference in the intracellular dielectric features, and between in-tracellular and extracellular media. Several experimental campaigns were led on three distinct cell lines by thoroughly scanning the UHF spectrum and specifically measuring the resulting second cross-over frequency for each cell type. The experimental results suggest that significant cross-over frequency differences can be observed from one cell line to the other and confirm that their high frequency DEP characteristics can be a relevant cell signature for discriminating them. This work is a first step towards the development of a UHF-DEP cytometer.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average