Review Articles: Cell Culture and Tissue Engineering
Automated live cell imaging systems reveal dynamic cell behavior
Article first published online: 20 JUN 2011
DOI: 10.1002/btpr.629
Copyright © 2011 American Institute of Chemical Engineers (AIChE)
Additional Information
How to Cite
Chirieleison, S. M., Bissell, T. A., Scelfo, C. C., Anderson, J. E., Li, Y., Koebler, D. J. and Deasy, B. M. (2011), Automated live cell imaging systems reveal dynamic cell behavior. Biotechnol Progress, 27: 913–924. doi: 10.1002/btpr.629
Publication History
- Issue published online: 3 AUG 2011
- Article first published online: 20 JUN 2011
- Accepted manuscript online: 20 APR 2011 12:40PM EST
- Manuscript Revised: 11 MAR 2011
- Manuscript Received: 5 JUL 2010
Funded by
- U.S. National Institutes of Arthritis and Musculoskeletal Research. Grant Number: R03AR053678
- U.S. Department of Defense. Grant Number: W81XWH-06-1-0406
- Abstract
- Article
- References
- Cited By
Keywords:
- time-lapsed imaging;
- live cell imaging;
- cell biology;
- stem cells;
- growth kinetics;
- velocity
Abstract
Automated time-lapsed microscopy provides unique research opportunities to visualize cells and subcellular components in experiments with time-dependent parameters. As accessibility to these systems is increasing, we review here their use in cell science with a focus on stem cell research. Although the use of time-lapsed imaging to answer biological questions dates back nearly 150 years, only recently have the use of an environmentally controlled chamber and robotic stage controllers allowed for high-throughput continuous imaging over long periods at the cell and subcellular levels. Numerous automated imaging systems are now available from both companies that specialize in live cell imaging and from major microscope manufacturers. We discuss the key components of robots used for time-lapsed live microscopic imaging, and the unique data that can be obtained from image analysis. We show how automated features enhance experimentation by providing examples of uniquely quantified proliferation and migration live cell imaging data. In addition to providing an efficient system that drastically reduces man-hours and consumes fewer laboratory resources, this technology greatly enhances cell science by providing a unique dataset of temporal changes in cell activity. © 2011 American Institute of Chemical Engineers Biotechnol. Prog., 2011

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