Issue 24, 2019

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

Abstract

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.

Graphical abstract: Combining dielectrophoresis and computer vision for precise and fully automated single-cell handling and analysis

Supplementary files

Article information

Article type
Communication
Submitted
12 Aug 2019
Accepted
12 Oct 2019
First published
20 Nov 2019
This article is Open Access
Creative Commons BY-NC license

Lab Chip, 2019,19, 4016-4020

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

N. Godino, F. Pfisterer, T. Gerling, C. Guernth-Marschner, C. Duschl and M. Kirschbaum, Lab Chip, 2019, 19, 4016 DOI: 10.1039/C9LC00800D

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