Machine Vision and Image Processing for Automated Cell Injection

This paper presents image processing algorithms for cell structure recognition, which provides the desired deposition destinations without human interference for an automated cell injection system. Adherent cells (endothelial cells) are the main focus. The surface and shadow information of the nucleoli of endothelial cells is used to extract their locations, which subsequently produce a desired deposition destination inside the nucleus by Delaunay triangulation. 436 nucleoli were 92% correctly recognized, paving the way for an automated adherent cell injection system to be developed.