Classification of cell types using mechanical and electrical measurement on single cells

J. Chen, Y. Zheng, Q. Tan, E. Shojaei-Baghini, Y. Zhang, P. Prasad, X. Y. Wu, Y. Sun

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

Abstract

This paper presents a microsystem for single-cell characterization by aspirating cells continuously through a constriction channel while cell impedance profiles and images are measured to quantify transit time, the impedance amplitude ratio, and cell elongation simultaneously. The system demonstrated that osteoblasts, compared with osteocytes, have a larger cell elongation length, longer transit time, and a higher amplitude ratio. The system also classified EMT6 and EMT6/AR1.0 cells with success rates of 51.3% (cell elongation), 57.5% (transit time), 59.6% (amplitude ratio), and 70.2% (both) using neural network, further verifying the device's capability for performing both electrical and mechanical measurements on single cells.

Original languageEnglish (US)
Title of host publication15th International Conference on Miniaturized Systems for Chemistry and Life Sciences 2011, MicroTAS 2011
Pages795-797
Number of pages3
StatePublished - 2011
Externally publishedYes
Event15th International Conference on Miniaturized Systems for Chemistry and Life Sciences 2011, MicroTAS 2011 - Seattle, WA, United States
Duration: Oct 2 2011Oct 6 2011

Publication series

Name15th International Conference on Miniaturized Systems for Chemistry and Life Sciences 2011, MicroTAS 2011
Volume2

Conference

Conference15th International Conference on Miniaturized Systems for Chemistry and Life Sciences 2011, MicroTAS 2011
Country/TerritoryUnited States
CitySeattle, WA
Period10/2/1110/6/11

Keywords

  • Cellular biophysics
  • Constriction channel
  • Impedance spectroscopy
  • Microfluidics
  • Neural network
  • Single cell analysis

ASJC Scopus subject areas

  • Control and Systems Engineering

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