Single-cell information extraction and viability analysis using automated microscopy

被引：0
|
作者：
Chao, Shih-hui [1 ]
Strovas, Tim J. [1 ]
Zhang, Shile [1 ]
Jones-Isaac, Kendan A. [1 ]
Meldrum, Deirdre R. [1 ]
机构：
[1] Univ Washington, Microscale Life Sci Ctr, Seattle, WA 98195 USA
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2 | 2006年
基金：
美国国家卫生研究院;
关键词：
automated microscopy; single cell analysis; information extraction; cell viability; microfluidics;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：33 / +
页数：2
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