Affordable Access

Publisher Website

Statistical Modeling of Single Target Cell Encapsulation

Authors
Journal
PLoS ONE
1932-6203
Publisher
Public Library of Science
Publication Date
Volume
6
Issue
7
Identifiers
DOI: 10.1371/journal.pone.0021580
Keywords
  • Research Article
  • Biology
  • Biotechnology
  • Tissue Engineering
  • Computational Biology
  • Genomics
  • Cryobiology
  • Molecular Cell Biology
  • Cellular Types
  • Chemistry
  • Physical Chemistry
  • Mixtures
  • Heterogeneous Mixtures
Disciplines
  • Biology
  • Engineering
  • Medicine

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.

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

High throughput single-cell and multiple-cell micr...

on Journal of Visualized Experime... 2012

Bio-encapsulation of microbial cells for targeted...

on Critical reviews in biotechnol... September 2011
More articles like this..