Statistical Modeling of Single Target Cell Encapsulation
Name
Moon-2011-Statistical Modeling.pdf
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710.65 KB
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Author(s)
Moon, SangJun
Ceyhan, Elvan
Gurkan, Umut Atakan
Demirci, Utkan
Date Issued
July 2011
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
Moon, SangJun et al. “Statistical Modeling of Single Target Cell Encapsulation.” Ed. Cesario V. Borlongan. PLoS ONE 6 (7) (2011): e21580. © 2011 Moon et al.
Version
Final published version
Abstract
High throughput drop-on-demand systems for separation and encapsulation of individual target cells from heterogeneous mixtures of multiple cell types is an emerging method in biotechnology that has broad applications in tissue engineering and regenerative medicine, genomics, and cryobiology. However, cell encapsulation in droplets is a random process that is hard to control. Statistical models can provide an understanding of the underlying processes and estimation of the relevant parameters, and enable reliable and repeatable control over the encapsulation of cells in droplets during the isolation process with high confidence level. We have modeled and experimentally verified a microdroplet-based cell encapsulation process for various combinations of cell loading and target cell concentrations. Here, we explain theoretically and validate experimentally a model to isolate and pattern single target cells from heterogeneous mixtures without using complex peripheral systems.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Creative Commons Attribution
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DOI of Published Version
http://dx.doi.org/10.1371/journal.pone.0021580
