Application of machine vision for automated cell injection
by Wenhui Wang, Darren Hewett, Christopher E. Hann, J. Geoffrey Chase, Xiao Qi Chen
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 2, No. 1/2, 2009

Abstract: This paper presents image processing algorithms recognising cell structures for an automated cell injection system. For suspended zebrafish embryos, the convex hull and convexity defects of the cytoplasm contour are used. For adherent endothelial cells, the surface and shadow information of the nucleoli is used. Overall, 550 zebrafish embryos were 100% correctly recognised in online injection experiments. Compared to manual injection, the automated injection speed and reproducibility increase by up to 1.5-fold and 67% respectively. In the endothelial cell case, 436 nucleoli were 92% correctly recognised, paving the way for an automated adherent cell injection system to be developed.

Online publication date: Wed, 01-Apr-2009

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