A cell viability assessment approach based on electrical wound-healing impedance characteristics

Wei, Mingji; Zhang, Yecheng; Li, Guoxiao; Ni, Ying; Wang, Siqi; Zhang, Fei; Zhang, Rongbiao; Yang, Ning; Shao, Shihe; Wang, Pan

doi:10.1016/j.bios.2018.09.080

Cited by 26 publications

(33 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the adhesion strengths τ 25 , τ 50 , and τ 75 can be calculated by the formula

\log x = x_{0} {true(\frac{A_{1} - y}{y - A_{2}} true)}^{\frac{1}{q}}

where log x > 0, thus A 2 < y < A 1 . All experimental data are statistically significant with p < 0.05, where p means the differences between samples causing by sampling errors (Wei, Zhang, Li, et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…In this article, the polynomial regression model was used by Origin2016 to analyze the nonlinear relationship between the logarithm of adhesion strengths and that of IC 50 . Usually, the performance of polynomial regression model can be evaluated by the R‐Square (COD), which is the coefficient of multiple determination (Wei, Zhang, Li, et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…The traditional cell counting method evaluates cell viability by counting live cells in total cells (G. Li et al, 2018), rather than distinguishing the heterogeneous cells in the live cell population. Since the electrochemical impedance spectroscopy (EIS) was first applied to the monitoring of cell dynamic events (Giaever & Keese, 1991), this method is widely accepted as a label‐free, noninvasive, real‐time, and quantitative analytical approach for the assessment of cell viability (G. Li et al, 2018; Wei, Zhang, Li, et al, 2019; Xu et al, 2016). However, the sensitivity of measuring the impedance of a cell population with viability heterogeneity is too low to distinguish the difference of heterogeneous cells.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating cell viability heterogeneity based on information fusion of multiple adhesion strengths

Wei

Zhang

et al. 2021

Biotech & Bioengineering

Self Cite

View full text Add to dashboard Cite

Cell viability evaluation is significantly meaningful for cellular assays. Some cells with weak viability are easily killed in the detection of anticancer drugs, while others with strong viability survive and proliferate, ultimately leading to the treatment failure or the inaccuracy of biological assays. Accurately evaluating cell viability heterogeneity still remains difficult. This article proposed a multiphysical property information fusion method for evaluating cell viability heterogeneity based on polynomial regression in a single-channel integrated microfluidic chip. In this method, adhesion strengths τ N , that are defined as the magnitude of shear stress needed to detach (100 − N) % of cell population, were extracted as the independent variables of polynomial regression model by calculating the nonlinear fitting of the impedance-response curves for shear stress (cell detachment assay). Besides, by calculating the nonlinear fitting of the drug dose-response curves for cancer cells (IC 50 assay), the half-maximal inhibitory concentration (IC 50 ) was extracted as the dependent variables of polynomial regression model. The results show that the mean relative error of our fusion method averagely reduces by 6.04% and 62.79% compared with the multiple linear regression method and the cell counting method. Moreover, a simplified theoretical model used to describe the quantitative relationship between cell viability and its adhesion strengths was built to provide a theoretical basis for our fusion method.

show abstract

“…Thus, the adhesion strengths τ 25 , τ 50 , and τ 75 can be calculated by the formula

\log x = x_{0} {true(\frac{A_{1} - y}{y - A_{2}} true)}^{\frac{1}{q}}

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating cell viability heterogeneity based on information fusion of multiple adhesion strengths

Wei

Zhang

et al. 2021

Biotech & Bioengineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Then, new medium was continuously injected into the microfluidic chip at different initial flow rates, and the waste medium was removed. The upper‐level medium needs to be higher than the outlet of duct to avoid the dry channel and to provide abundant nutrition (Wei, Zhang, Li, et al, 2019). After 3 h of cell attachment, an electrical signal (10 mV, 10 kHz) was generated by an impedance analyzer, which was purchased from Chenhua Instrument and was applied on the vertical gold electrodes for 2 s. We used the signal to detect cell density and provide the feedback information of impedance.…”

Section: Methodsmentioning

confidence: 99%

A novel method of cell culture based on the microfluidic chip for regulation of cell density

Zhang

Wei

et al. 2020

Biotech & Bioengineering

Self Cite

View full text Add to dashboard Cite

The regulation of cell density is an important segment in microfluidic cell culture, particularly in the repeated assays. Traditionally, consistent cell density is difficult to achieve, owing to the inaccurate regulation of cell density with manual feedback. A novel cell culture method with automatic feedback is proposed for real‐time regulation of cell density based on microfluidic chip in this paper. Here, an integrated microfluidic system combining cell culture, density detection, and control of proliferation rate was developed. Interdigital electrode structures were sputtered on the microchannel automatically to provide the real‐time feedback information of impedance. The most sensitive frequency was studied to improve the detection resolution of the sensing chip. Cells were cultured on the chip surface and cell density was detected by monitoring the alternation of the impedance. The feedback controller was established by the least squares support vector machines. Then, the cell proliferation rate was automatically controlled using the feedback controller to achieve the desired cell density in the repeated assays. The results show that the standard error of this method is 2.8% indicating that the method can keep a consistency of cell density in the repeated assays. This study provides a basis for improving the accuracy and repeatability in the further assays of finding the optimal drug concentration.

show abstract

“…The ECIS technique provided useful information for estimating the fill factor of muscular stem cells [6]. This technique was also used in previous works to study tumor cell cycle [7], invasion [8], proliferation [9], and the interaction between tumor cells and other stromal cells [10]. Given the significant support of previous studies [4] that showed careful regulation of impedance responses of cells to various stimuli by vinculin-related attachment, in our work, we further combined the effects of cell proliferation and cell adhesion to explore the link between the alterations in impedance response of cells and biological changes of cells using optimized interdigitated electrodes (with the support of advanced simulations).…”

Section: Introductionmentioning

confidence: 99%

The Measurement and Analysis of Impedance Response of HeLa Cells to Distinct Chemotherapy Drugs

Kong

Liu

et al. 2021

Micromachines

View full text Add to dashboard Cite

Electric cell–substrate impedance sensing exhibits a real-time and label-free feature to monitor the response of cells stimulated by various biochemical and mechanical signals. Alterations in the currents passing through the cell–electrode system characterize the impedance variations of cells. The impedance responses of HeLa cells under distinct chemotherapy drugs combine the effects of cell proliferation and cell–substrate adhesion. Optimal interdigitated electrodes were selected to explore the impedance responses of HeLa cells. Measurements of impedance of cells in response to three widely used chemotherapy drugs in clinical practice, namely cisplatin, doxorubicin, 5-fluorouracil, were performed. The results demonstrated that distinct impedance responses of HeLa cells to drugs were exhibited and a decrease in measured impedance was observed after drug treatment, accompanied by alterations in the distribution and intensity of the adhesion-related protein vinculin and the rate of cell proliferation. The link between the impedance profiles of HeLa cells and their biological functions was developed based on the circuit model. This study demonstrated the weights of cell proliferation and adhesion of HeLa cells under the treatments of DDP, DOX, and 5-FU, resulted in distinct impedance responses of cells, providing an impedance-based evaluation methodology for cervical cancer treatment.

show abstract

A cell viability assessment approach based on electrical wound-healing impedance characteristics

Cited by 26 publications

References 20 publications

Evaluating cell viability heterogeneity based on information fusion of multiple adhesion strengths

Evaluating cell viability heterogeneity based on information fusion of multiple adhesion strengths

A novel method of cell culture based on the microfluidic chip for regulation of cell density

The Measurement and Analysis of Impedance Response of HeLa Cells to Distinct Chemotherapy Drugs

Contact Info

Product

Resources

About