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A cell viability assessment method based on area-normalized impedance spectrum (ANIS)
Biosensors and Bioelectronics ( IF 12.6 ) Pub Date : 2018-03-21 , DOI: 10.1016/j.bios.2018.03.041
Rongbiao Zhang 1 , Mingji Wei 1 , Shuohuan Chen 1 , Guoxiao Li 1 , Fei Zhang 1 , Ning Yang 1 , Linkui Huang 1
Affiliation  

Impedance measurement of cells using electric cell-substrate impedance sensing (ECIS) is widely accepted as an effective method to assess cell status. However, the sensitive frequency drifts over time with the changes of culture condition according to the built circuit model and experimental results. The area-normalized impedance spectrum (ANIS) method, which uses normalized area of impedance spectrum in a certain interval to assess cell viability, was proposed in this paper to solve the problem. The certain interval is calculated due to the threshold Zth, which is determined by 2% decline of the maximum impedance. Stabilities of two methods were analyzed by normalizing the area and impedance, showing that the normalized impedance fluctuated like a wave, while the normalized area was smoother. In addition, Cell Count Kit-8 (CCK-8) assay was carried out proving that the correlation index of ANIS method increases by 2.4% compared with impedance sensing method, and the maximum error of ANIS method decreases by 4%. Comparison analysis of two methods with random measurement noise was also discussed in this paper, and the results showed that the ANIS method was less affected by measurement noise than impedance sensing method. It demonstrated that the ANIS method is a more stable and accurate method to assess cell viability.



中文翻译:

基于面积归一化阻抗谱(ANIS)的细胞活力评估方法

使用细胞-基质阻抗传感 (ECIS) 进行细胞阻抗测量被广泛认为是评估细胞状态的有效方法。然而,根据建立的电路模型和实验结果,敏感频率随着培养条件的变化而随时间漂移。为了解决这一问题,本文提出了面积归一化阻抗谱(ANIS)方法,利用一定区间内阻抗谱的归一化面积来评估细胞活力。该特定间隔是根据阈值Z th计算的,阈值Z th 由最大阻抗下降2%确定。通过对面积和阻抗进行归一化分析两种方法的稳定性,结果表明归一化后的阻抗呈波浪状波动,而归一化后的面积则较为平滑。另外,通过Cell Count Kit-8(CCK-8)检测证明,ANIS法的相关指数较阻抗传感法提高了2.4%,最大误差降低了4%。本文还讨论了两种随机测量噪声方法的比较分析,结果表明ANIS方法比阻抗传感方法受测量噪声的影响更小。表明ANIS方法是一种更稳定、更准确的细胞活力评估方法。

更新日期:2018-03-21
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