A Simple Micromilled Microfluidic Impedance Cytometer with Vertical Parallel Electrodes for Cell Viability Analysis

被引:1
|
作者
Eades, Jason [1 ,2 ]
Audiffred, Julianne F. F. [1 ,2 ]
Fincher, Micah [1 ,2 ]
Choi, Jin-Woo [3 ]
Soper, Steven A. A. [4 ,5 ]
Monroe, William Todd [1 ,2 ]
机构
[1] Louisiana State Univ, Dept Biol & Agr Engn, Baton Rouge, LA 70803 USA
[2] Agr Ctr, Dept Biol & Agr Engn, Baton Rouge, LA 70803 USA
[3] Michigan Technol Univ, Dept Elect & Comp Engn, Houghton, MI 49931 USA
[4] Univ Kansas, Dept Chem, Lawrence, KS 66044 USA
[5] Univ Kansas, Ctr Biomodular Multiscale Syst Precis Med, Lawrence, KS 66044 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
single cell; microfluidic impedance cytometry; impedance spectroscopy; micromilling; vertical electrodes; sidewall electrodes; FLOW-CYTOMETRY; SPECTROSCOPY;
D O I
10.3390/mi14020283
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Microfluidic impedance cytometry has been demonstrated as an effective platform for single cell analysis, taking advantage of microfabricated features and dielectric cell sensing methods. In this study, we present a simple microfluidic device to improve the sensitivity, accuracy, and throughput of single suspension cell viability analysis using vertical sidewall electrodes fabricated by a widely accessible negative manufacturing method. A microchannel milled through a 75 mu m platinum wire, which was embedded into poly-methyl-methacrylate (PMMA), created a pair of parallel vertical sidewall platinum electrodes. Jurkat cells were interrogated in a custom low-conductivity buffer (1.2 +/- 0.04 mS/cm) to reduce current leakage and increase device sensitivity. Confirmed by live/dead staining and electron microscopy, a single optimum excitation frequency of 2 MHz was identified at which live and dead cells were discriminated based on the disruption in the cell membrane associated with cell death. At this frequency, live cells were found to exhibit changes in the impedance phase with no appreciable change in magnitude, while dead cells displayed the opposite behavior. Correlated with video microscopy, a computational algorithm was created that could identify cell detection events and determine cell viability status by application of a mathematical correlation method.
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页数:18
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