Author ORCID Identifier

https://orcid.org/0000-0002-0331-9960

Document Type

Article

Publication Date

7-21-2011

DOI

10.1371/journal.pone.0021580

Publication Title

PLOS ONE

Volume

6

Issue

7

College/School

Case School of Engineering

Department/Center

Mechanical & Aerospace Engineering

Grant

R01AI081534; R21AI087107

Funder

Young Investigator in Bioengineering Award, Wallace H. Coulter Foundation; National Institutes of Health (NIH)

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.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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