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Bioimpedance Analysis for the Characterization of Breast Cancer Cells in Suspension

Authors: Guofeng Qiao; Wei Wang; Wei Duan; Fan Zheng; Alison J. Sinclair; Chris R. Chatwin;

Bioimpedance Analysis for the Characterization of Breast Cancer Cells in Suspension

Abstract

The bioimpedance spectroscopy (BIS) technique is potentially a useful tool to differentiate malignancy based on the variation of electrical properties presented by different tissues and cells. The different tissues and cells present variant electrical resistance and reactance when excited at different frequencies. The main purpose of this area of research is to use impedance measurements over a low-frequency bandwidth ranging from 1 kHz to 3 MHz to 1) differentiate the pathological stages of cancer cells under laboratory conditions and 2) permit the extraction of electrical parameters related to cellular information for further analysis. This provides evidence to form the basis of bioimpedance measurement at the cellular level and aids the potential future development of rapid diagnostics from biopsy materials. Three cell lines, representing normal breast epithelia and different pathological stages of breast cancer, have been measured using a standard impedance analyzer driving a four-electrode chamber filled with different cell suspensions. We identify the specific BIS profile for each cell type and determine whether these can be differentiated. In addition, the electrical parameters, e.g., the intracellular conductivity, membrane capacitance/capacity, characteristic frequency, are extracted by the use of equivalent circuit models and physical models to provide details of the cell electric signatures for further analysis of cancer cell pathology.

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Keywords

Cell Survival, Cytological Techniques, Breast Neoplasms, Suspensions, Cell Line, Tumor, Dielectric Spectroscopy, Electric Impedance, Humans, Female

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
90
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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