Single-cell information extraction and viability analysis using automated microscopy

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

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

1 Citation (Scopus)

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
Pages33-38
Number of pages6
DOIs
StatePublished - 2007
Externally publishedYes
Event2006 IEEE International Conference on Automation Science and Engineering, CASE - Shanghai, China
Duration: Oct 8 2006Oct 10 2006

Other

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

Fingerprint

Microscopic examination
Dyes
Cells
Macrophages
Microscopes
Fluorescence

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Chao, S-H., Strovas, T. J., Zhang, S., Jones-Isaac, K. A., & Meldrum, D. (2007). Single-cell information extraction and viability analysis using automated microscopy. In 2006 IEEE International Conference on Automation Science and Engineering, CASE (pp. 33-38). [4120317] https://doi.org/10.1109/COASE.2006.326851

Single-cell information extraction and viability analysis using automated microscopy. / Chao, Shih-Hui; Strovas, Tim J.; Zhang, Shile; Jones-Isaac, Kendan A.; Meldrum, Deirdre.

2006 IEEE International Conference on Automation Science and Engineering, CASE. 2007. p. 33-38 4120317.

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

Chao, S-H, Strovas, TJ, Zhang, S, Jones-Isaac, KA & Meldrum, D 2007, Single-cell information extraction and viability analysis using automated microscopy. in 2006 IEEE International Conference on Automation Science and Engineering, CASE., 4120317, pp. 33-38, 2006 IEEE International Conference on Automation Science and Engineering, CASE, Shanghai, China, 10/8/06. https://doi.org/10.1109/COASE.2006.326851
Chao S-H, Strovas TJ, Zhang S, Jones-Isaac KA, Meldrum D. Single-cell information extraction and viability analysis using automated microscopy. In 2006 IEEE International Conference on Automation Science and Engineering, CASE. 2007. p. 33-38. 4120317 https://doi.org/10.1109/COASE.2006.326851
Chao, Shih-Hui ; Strovas, Tim J. ; Zhang, Shile ; Jones-Isaac, Kendan A. ; Meldrum, Deirdre. / Single-cell information extraction and viability analysis using automated microscopy. 2006 IEEE International Conference on Automation Science and Engineering, CASE. 2007. pp. 33-38
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