Related Experiment Video
Updated: Jan 3, 2026

09:48
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
Published on: June 30, 2017
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Combining dielectrophoresis and computer vision for precise and fully automated single-cell handling and analysis
Neus Godino1, Felix Pfisterer1, Tobias Gerling1
1Fraunhofer IZI-BB, Am Muehlenberg 13, 14476 Potsdam, Germany. michael.kirschbaum@izi-bb.fraunhofer.de.
Lab on a Chip
|November 21, 2019
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.

