Journal
LAB ON A CHIP
Volume 12, Issue 12, Pages 2182-2189Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c2lc21184j
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Funding
- CIRM-Novel Tools and Technologies [RT1-01074]
- UCI CIRM [TG2-01152]
- National Center for Research Resources (NCRR) [UL1 RR031985]
- National Institutes of Health (NIH)
- NIH Roadmap for Medical Research
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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.
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