Measuring transmittance of human female breast cells through spectrophotometry and generating its equivalent circuit by prony modelling

Nida Nasir, Mahmoud Al Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is an approach towards the electrical characterization of human female breast cancerous and non-cancerous cells. We measured the transmittance, over near-infrared (NIR) region of 640-1050 nm, of normal breast cells (MCF 10A) and cancer breast cells (MDA-MB-231) along with their growth medium DMEM/F12 (Dulbecco's Modified Eagle's Medium and Ham's Nutrient Mixture F12) through spectrophotometer. The measured transmittance signals have been used to synthesize equivalent electric circuit networks for cells and their medium, using MATLAB Prony toolbox. Prony toolbox has extracted the coefficients of transfer function that represents the signals, using which we generated the equivalent circuit of the transmittance by foster realization. The equivalent circuit comprises of the series combination of inductor, capacitor and resonators.

Original languageEnglish
Title of host publication4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538621066
DOIs
Publication statusPublished - Jul 2 2017
Event4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 - Salmabad, Bahrain
Duration: Nov 29 2017Dec 1 2017

Publication series

Name4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Volume2018-January

Other

Other4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Country/TerritoryBahrain
CitySalmabad
Period11/29/1712/1/17

Keywords

  • Cancer Breast Cells
  • Equivalent Circuit Synthesis
  • NIR Spectrophotometer)!
  • Prony Analysis

ASJC Scopus subject areas

  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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