A microfluidic system for cell type classification based on cellular size-independent electrical properties
A microfluidic system for cell type classification based on cellular size-independent electrical properties
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DOI：
10.1039/c3lc41361f
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发表时间：
2013-01-01
期刊：
影响因子：
6.1
通讯作者：
Chen, Jian
中科院分区：
文献类型：
--
作者：
Zhao, Yang;Chen, Deyong;Chen, Jian
本文提出了一种微流体系统，其能够基于尺寸无关的电特性（例如，比膜电容（C-特异性膜）和细胞质电导率（σ（细胞质））。在这项研究中，细胞被连续抽吸通过收缩通道，同时在两个频率（1 kHz和100 kHz）的细胞伸长和阻抗曲线进行了测量。基于所提出的分布式等效电路模型，使用1 kHz阻抗数据来评估具有收缩通道壁的细胞密封特性，并将100 kHz阻抗数据转换为C特异性膜和sigma（细胞质）。使用CRL-5803细胞（n（细胞）= 489）和CCL-185细胞（n（细胞）= 487）的两种肺癌细胞系来评价该技术，产生1.63 +/- 0.52 μ F cm（-2）vs. 2.00 +/- 0.60 μ F cm（-2）的C特异性膜，σ（细胞质）为0.90 +/- 0.19 S m（-1）vs. 0.73 +/- 0.17 S m（-1）。使用基于神经网络的模式识别对CRL-5803和CCL-185细胞进行分类，产生的成功率为65.4%（C特异性膜）、71.4%（sigma（细胞质））和74.4%（C特异性膜和sigma（细胞质）），表明这两种肿瘤细胞系可以基于其电特性进行分类。
This paper presents a microfluidic system enabling cell type classification based on continuous characterization of size-independent electrical properties (e.g., specific membrane capacitance (C-specific membrane) and cytoplasm conductivity (sigma(cytoplasm))). In this study, cells were aspirated continuously through a constriction channel, while cell elongation and impedance profiles at two frequencies (1 kHz and 100 kHz) were measured simultaneously. Based on a proposed distributed equivalent circuit model, 1 kHz impedance data were used to evaluate cellular sealing properties with constriction channel walls and 100 kHz impedance data were translated to C-specific membrane and sigma(cytoplasm). Two lung cancer cell lines of CRL-5803 cells (n(cell) = 489) and CCL-185 cells (n(cell) = 487) were used to evaluate this technique, producing a C-specific membrane of 1.63 +/- 0.52 mu F cm(-2) vs. 2.00 +/- 0.60 mu F cm(-2), and sigma(cytoplasm) of 0.90 +/- 0.19 S m(-1) vs. 0.73 +/- 0.17 S m(-1). Neural network-based pattern recognition was used to classify CRL-5803 and CCL-185 cells, producing success rates of 65.4% (C-specific membrane), 71.4% (sigma(cytoplasm)), and 74.4% (C-specific membrane and sigma(cytoplasm)), suggesting that these two tumor cell lines can be classified based on their electrical properties.