Abstract
Automation of piezoelectric inkjet-based single cell printing is the target of this study. Piezoelectric inkjet technology capability of high speed printing is the main advantage of this technology over other technologies. Therefore, this technology has gained attention in recent field of tissue engineering. Additionally, this technology was successfully developed for single cell handling. However, automation system for the single cell handling was not yet developed. In this study, utilizing open source image processing library, OpenCV, to process image of the inkjet head, automatic cell detection system was successfully developed. Finally, combining cell detection system and cell printing system, automation of single cell printing system with 98% successful ratio was successfully developed.
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