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Issue 12, 2012
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Frequency discretization in dielectrophoretic assisted cell sorting arrays to isolate neural cells

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Abstract

We present an automated dielectrophoretic assisted cell sorting (DACS) device for dielectric characterization and isolation of neural cells. Dielectrophoretic (DEP) principles are often used to develop cell sorting techniques. Here we report the first statistically significant neuronal sorting using DACS to enrich neurons from a heterogeneous population of mouse derived neural stem/progenitor cells (NSPCs) and neurons. We also study the dielectric dispersions within a heterogeneous cell population using a Monte-Carlo (MC) simulation. This simulation model explains the trapping behavior of populations as a function of frequency and predicts sorting efficiencies. The platform consists of a DEP electrode array with three multiplexed trapping regions that can be independently activated at different frequencies. A novel microfluidic manifold enables cell sorting by trapping and collecting cells at discrete frequency bands rather than single frequencies. The device is used to first determine the percentage of cells trapped at these frequency bands. With this characterization and the MC simulation we choose the optimal parameters for neuronal sorting. Cell sorting experiments presented achieve a 1.4-fold neuronal enrichment as predicted by our model.

Graphical abstract: Frequency discretization in dielectrophoretic assisted cell sorting arrays to isolate neural cells

  • This article is part of the themed collection: Focus on USA
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Publication details

The article was received on 01 Dec 2011, accepted on 09 Mar 2012 and first published on 30 Mar 2012


Article type: Paper
DOI: 10.1039/C2LC21184J
Citation: Lab Chip, 2012,12, 2182-2189
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    Frequency discretization in dielectrophoretic assisted cell sorting arrays to isolate neural cells

    J. L. Prieto, J. Lu, J. L. Nourse, L. A. Flanagan and A. P. Lee, Lab Chip, 2012, 12, 2182
    DOI: 10.1039/C2LC21184J

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