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.
CITATION STYLE
Godino, N., Pfisterer, F., Gerling, T., Guernth-Marschner, C., Duschl, C., & Kirschbaum, M. (2019). Combining dielectrophoresis and computer vision for precise and fully automated single-cell handling and analysis. Lab on a Chip, 19(24), 4016–4020. https://doi.org/10.1039/c9lc00800d
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