Author ORCID Identifier
Document Type
Article
Publication Date
7-21-2011
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.
Publication Title
PLOS ONE
Grant
R01AI081534; R21AI087107
Funder
Young Investigator in Bioengineering Award, Wallace H. Coulter Foundation; National Institutes of Health (NIH)
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Gurkan, Umut A., "Statistical Modeling of Single Target Cell Encapsulation" (2011). Faculty Scholarship. 38.
https://commons.case.edu/facultyworks/38