Wavelet-based multiscale analysis of bioimpedance data measured by electric cell-substrate impedance sensing for classification of cancerous and normal cells

Das, Debanjan ; Shiladitya, Kumar ; Biswas, Karabi ; Dutta, Pranab Kumar ; Parekh, Aditya ; Mandal, Mahitosh ; Das, Soumen (2015) Wavelet-based multiscale analysis of bioimpedance data measured by electric cell-substrate impedance sensing for classification of cancerous and normal cells Physical Review E - Statistical, Nonlinear and Soft Matter Physics, 92 (6). Article ID 062702. ISSN 1539-3755

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Official URL: https://journals.aps.org/pre/abstract/10.1103/Phys...

Related URL: http://dx.doi.org/10.1103/PhysRevE.92.062702

Abstract

The paper presents a study to differentiate normal and cancerous cells using label-free bioimpedance signal measured by electric cell-substrate impedance sensing. The real-time-measured bioimpedance data of human breast cancer cells and human epithelial normal cells employs fluctuations of impedance value due to cellular micromotions resulting from dynamic structural rearrangement of membrane protrusions under nonagitated condition. Here, a wavelet-based multiscale quantitative analysis technique has been applied to analyze the fluctuations in bioimpedance. The study demonstrates a method to classify cancerous and normal cells from the signature of their impedance fluctuations. The fluctuations associated with cellular micromotion are quantified in terms of cellular energy, cellular power dissipation, and cellular moments. The cellular energy and power dissipation are found higher for cancerous cells associated with higher micromotions in cancer cells. The initial study suggests that proposed wavelet-based quantitative technique promises to be an effective method to analyze real-time bioimpedance signal for distinguishing cancer and normal cells

Item Type:Article
Source:Copyright of this article belongs to The American Physical Society.
ID Code:113413
Deposited On:08 May 2018 06:29
Last Modified:08 May 2018 06:29

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