Single-cell information extraction and viability analysis using automated microscopy

Shih Hui Chao, Tim J. Strovas, Shile Zhang, Kendan A. Jones-Isaac, Deirdre R. Meldrum

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

1 Scopus citations

Abstract

We present the use of an automated microscope routine for long-term single cell viability analysis. Murine macrophage cells were monitored for more than 10 hours at physiological conditions. The information of each cell was extracted from time-lapse raw fluorescence and bright-field images to study single cell dynamic behaviors. Two methods were applied to analyze single cell viability: the popular method using live/dead fluorescent dye, and a new morphology-based, dye-free method that estimates viability with optical appearance. Both methods yielded similar death event estimation, indicating the new morphology-based method can be an alternative when using live/dead fluorescent dye is difficult or not allowed.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Automation Science and Engineering, CASE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-38
Number of pages6
ISBN (Print)1424403103, 9781424403103
DOIs
StatePublished - Jan 1 2006
Externally publishedYes
Event2006 IEEE International Conference on Automation Science and Engineering, CASE - Shanghai, China
Duration: Oct 8 2006Oct 10 2006

Publication series

Name2006 IEEE International Conference on Automation Science and Engineering, CASE

Other

Other2006 IEEE International Conference on Automation Science and Engineering, CASE
CountryChina
CityShanghai
Period10/8/0610/10/06

Keywords

  • Automated microscopy
  • Cell viability
  • Information extraction
  • Microfluidics
  • Single cell analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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