Combining dielectrophoresis and computer vision for precise and fully automated single-cell handling and analysis.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
21 12 2019
Historique:
pubmed: 21 11 2019
medline: 14 8 2020
entrez: 21 11 2019
Statut: ppublish

Résumé

With the advent of single-cell technologies comes the necessity for efficient protocols to process single cells. We combine dielectrophoresis with open source computer vision programming to automatically control the trajectories of single cells inside a microfluidic device. Using real-time image analysis, individual cells are automatically selected, isolated and spatially arranged.

Identifiants

pubmed: 31746875
doi: 10.1039/c9lc00800d
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4016-4020

Auteurs

Neus Godino (N)

Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.

Felix Pfisterer (F)

Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.

Tobias Gerling (T)

Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.

Christian Guernth-Marschner (C)

Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.

Claus Duschl (C)

Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.

Michael Kirschbaum (M)

Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.

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Classifications MeSH