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

doi:10.1109/COASE.2006.326851

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 proceeding › Conference 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 language	English (US)
Title of host publication	2006 IEEE International Conference on Automation Science and Engineering, CASE
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-38
Number of pages	6
ISBN (Print)	1424403103, 9781424403103
DOIs	https://doi.org/10.1109/COASE.2006.326851
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Automation Science and Engineering, CASE - Shanghai, China Duration: Oct 8 2006 → Oct 10 2006

Publication series

Name	2006 IEEE International Conference on Automation Science and Engineering, CASE

Other

Other	2006 IEEE International Conference on Automation Science and Engineering, CASE
Country/Territory	China
City	Shanghai
Period	10/8/06 → 10/10/06

Keywords

Automated microscopy
Cell viability
Information extraction
Microfluidics
Single cell analysis

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/COASE.2006.326851

Cite this

Chao, S. H., Strovas, T. J., Zhang, S., Jones-Isaac, K. A., & Meldrum, D. R. (2006). Single-cell information extraction and viability analysis using automated microscopy. In 2006 IEEE International Conference on Automation Science and Engineering, CASE (pp. 33-38). Article 4120317 (2006 IEEE International Conference on Automation Science and Engineering, CASE). Institute of Electrical and Electronics Engineers Inc.. 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 et al.
2006 IEEE International Conference on Automation Science and Engineering, CASE. Institute of Electrical and Electronics Engineers Inc., 2006. p. 33-38 4120317 (2006 IEEE International Conference on Automation Science and Engineering, CASE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chao, SH, Strovas, TJ, Zhang, S, Jones-Isaac, KA & Meldrum, DR 2006, Single-cell information extraction and viability analysis using automated microscopy. in 2006 IEEE International Conference on Automation Science and Engineering, CASE., 4120317, 2006 IEEE International Conference on Automation Science and Engineering, CASE, Institute of Electrical and Electronics Engineers Inc., 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 SH, Strovas TJ, Zhang S, Jones-Isaac KA, Meldrum DR. Single-cell information extraction and viability analysis using automated microscopy. In 2006 IEEE International Conference on Automation Science and Engineering, CASE. Institute of Electrical and Electronics Engineers Inc. 2006. p. 33-38. 4120317. (2006 IEEE International Conference on Automation Science and Engineering, CASE). doi: 10.1109/COASE.2006.326851

Chao, Shih Hui ; Strovas, Tim J. ; Zhang, Shile et al. / Single-cell information extraction and viability analysis using automated microscopy. 2006 IEEE International Conference on Automation Science and Engineering, CASE. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 33-38 (2006 IEEE International Conference on Automation Science and Engineering, CASE).

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title = "Single-cell information extraction and viability analysis using automated microscopy",

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.",

keywords = "Automated microscopy, Cell viability, Information extraction, Microfluidics, Single cell analysis",

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doi = "10.1109/COASE.2006.326851",

language = "English (US)",

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AB - 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.

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Single-cell information extraction and viability analysis using automated microscopy

Abstract

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Keywords

ASJC Scopus subject areas

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