Statistical modeling of single target cell encapsulation.
PLoS One
; 6(7): e21580, 2011.
Article
em En
| MEDLINE
| ID: mdl-21814548
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.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Separação Celular
/
Células
/
Modelos Estatísticos
/
Microfluídica
Tipo de estudo:
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
PLoS One
Assunto da revista:
CIENCIA
/
MEDICINA
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
Estados Unidos