Cytotoxicity studies of lung cancer cells using impedance biosensor

Mansor, Ahmad Fairuzabadi Mohd; Nordin, Anis Nurashikin; Ibrahim, Illyani

doi:10.1109/icssa.2015.7322499

Cited by 7 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the narrower the distance between the electrodes, the more accurate the impedance measurement is. Besides that, the stages of the cancer's invasive nature can be easily analysed by using suitable data analysis software [27,29]. Therefore, the discussion for each category of the invasive nature will be explained thoroughly in order to give a clear understanding of this research.…”

Section: The Best Electrode Design and The Best Frequencymentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Impedance Based Sensor to Discover the Invasive Nature of A549 Lung Cancer Cell

Mohammad Mahbubur Rashid,

Mohamad Farhan Abd Razak,

Tahsin Fuad Hasan

2024

ARASET

View full text Add to dashboard Cite

Numerous studies have been conducted to investigate the effectiveness of impedance-based sensors in detecting the invasive behavior of cancer cells, specifically through the use of Electric Cell-substrate Impedance Sensing (ECIS) methodology. However, the current equivalent circuit models used to represent the invasive nature of cancer cells have limitations and inaccuracies, and there has been a lack of utilization of mathematical and data analysis software to better understand the growth and invasive behavior of these cells. To address these gaps, this research aims to measure the impedance of A549 lung cancer cells, develop a simplified equivalent circuit model, and analyze the results using mathematical and data analysis software. The invasive behavior of A549 cells will first be studied through impedance measurements, and then a circuit model will be designed and simulated using software tools to reveal the true invasive nature of these cells. Finally, rigorous mathematical analysis and the use of suitable data analysis software (such as Matlab Powergui and Simulink, EIS Spectrum Analyzer, and Plotly) will be applied to gain a comprehensive understanding of the morphological behavior of the cells. The experimental results of this research are expected to align with previous findings, and a quadratic equation will be derived to predict the body's resistance of the A549 lung cancer cell using mathematical and data analysis approaches.

show abstract

Section: The Best Electrode Design and The Best Frequencymentioning

confidence: 99%

“…The parameters needed to solve Eq. ( 6) [27] can be found by using information from section II (B), Table 1 & Table 2. Then, by using the data analysis software EIS Spectrum Analyzer, MATLAB Powergui and Simulink, the results are shown in the following Figure 6 and Figure 7.…”

Section: The Best Electrode Design and The Best Frequencymentioning

confidence: 99%

Analysis of Impedance Based Sensor to Discover the Invasive Nature of A549 Lung Cancer Cell

Mohammad Mahbubur Rashid,

Mohamad Farhan Abd Razak,

Tahsin Fuad Hasan

2024

ARASET

View full text Add to dashboard Cite

show abstract

“…The bioimpedance information due to cell attachment to the electrode is extracted from the signal response (real and imaginary components, or magnitude and phase (Mansor, 2015). The main problems to be solved for extract this information are two.…”

Section: Introductionmentioning

confidence: 99%

A CMOS Tracking System Approach for Cell Motility Assays

Martínez-Gómez¹,

Olmo

Huertas

et al. 2017

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies

View full text Add to dashboard Cite

Abstract:This work proposes a method for studying and monitoring in real-time a single cell on a 2D electrode matrix, of great interest in cell motility assays and in the characterization of cancer cell metastasis. A CMOS system proposal for cell location based on occupation maps data generated from Electrical Cell-substrate Impedance Spectroscopy (ECIS) has been developed. From this cell model, obtained from experimental assays data, an algorithm based on analysis of the 8 nearest neighbors has been implemented, allowing the evaluation of the cell center of mass. The path followed by a cell, proposing a Brownian route, has been simulated with the proposed algorithm. The presented results show the success of the approach, with accuracy over 95% in the determination of any coordinate (x, y) from the expected center of mass.

show abstract

“…Experimentally, ECIS technique requires of an excitation signal, current (or voltage), applied to obtain a voltage (or current) as response. The Bio-Impedance (BI) information due to cell attachment to the electrode is extracted from the signal response (real and imaginary components, or magnitude and phase [8]). The main problems to be solved to extract this information are two.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed system shown in Figure 1 can be implemented in CMOS technology. It is composed of a 2D matrix of electrodes, which act as "small sensors" of BI [9], integrated on the same or similar silicon substrate that is employed by the CMOS circuits for measuring and signal acquisition [8,10]. The circuits allow row/file selection to drive the actual "pixel" under test.…”

Section: Introductionmentioning

confidence: 99%

A tracking algorithm for cell motility assays in CMOS systems

Martínez-Gómez

Olmo

Huertas

et al. 2017

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

View full text Add to dashboard Cite

This work proposes a method for the study and real-time monitoring of a single cell on a 2D electrode matrix, of great interest in cell motility assays and in the characterization of cancer cell metastasis. A CMOS system proposal for cell location based on occupation maps data generated from Electrical Cell-substrate Impedance Spectroscopy (ECIS) has been developed. From experimental assays data, an algorithm based on the analysis of the eight nearest neighbours has been implemented to find the cell center of mass. The path followed by a cell, proposing a Brownian route, has been simulated with the proposed algorithm. The presented results give an accuracy over 95% in the determination of the coordinates (x, y) from the expected cell center of mass.

show abstract

Cytotoxicity studies of lung cancer cells using impedance biosensor

Cited by 7 publications

References 21 publications

Analysis of Impedance Based Sensor to Discover the Invasive Nature of A549 Lung Cancer Cell

Analysis of Impedance Based Sensor to Discover the Invasive Nature of A549 Lung Cancer Cell

A CMOS Tracking System Approach for Cell Motility Assays

A tracking algorithm for cell motility assays in CMOS systems

Contact Info

Product

Resources

About