title: Wavelet-based multiscale analysis of bioimpedance data measured by electric cell-substrate impedance sensing for classification of cancerous and normal cells.
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.
authors.affiliation: Department of Electrical Engineering, IIT Kharagpur, India.
authors.forename: Debanjan
authors.initials: D
authors.lastname: Das
authors.affiliation: Department of Electrical Engineering, IIT Kharagpur, India.
authors.forename: Kumar
authors.initials: K
authors.lastname: Shiladitya
authors.affiliation: Department of Electrical Engineering, IIT Kharagpur, India.
authors.forename: Karabi
authors.initials: K
authors.lastname: Biswas
authors.affiliation: Department of Electrical Engineering, IIT Kharagpur, India.
authors.forename: Pranab Kumar
authors.initials: PK
authors.lastname: Dutta
authors.affiliation: School of Medical Science and Technology, IIT Kharagpur, India.
authors.forename: Aditya
authors.initials: A
authors.lastname: Parekh
authors.affiliation: School of Medical Science and Technology, IIT Kharagpur, India.
authors.forename: Mahitosh
authors.initials: M
authors.lastname: Mandal
authors.affiliation: School of Medical Science and Technology, IIT Kharagpur, India.
authors.forename: Soumen
authors.initials: S
authors.lastname: Das
mesh_terms: D001943:Breast Neoplasms / Q000473:pathology*; D049109:Cell Proliferation; D002469:Cell Separation / Q000295:instrumentation*; D017097:Electric Impedance; D004847:Epithelial Cells / Q000166:cytology*; D006801:Humans; D061986:MCF-7 Cells; D013997:Time Factors; D058067:Wavelet Analysis