Micromanipulation of biological cells is a challenging task that requires levels of precision and repeatability which are difficult to achieve by most human operators. Automation of these processes presents an alternative approach which is capable of high precision task execution and much higher throughput, yet with its own limitations. In this thesis, we propose automation methods for the image-based visual servo control feedback and tracking of both blastomeres’ motion and the motion of micromanipulators, in real-time, for blastomere micromanipulation. An automation procedure is developed for the microinjection or blastomere biopsy of an embryonic cell. These steps involve blastomere Z-stack image acquisition, 3D image processing to identify blastomere feature (X, Y, Z) coordinates, and real-time image-based visual servo control of micropipettes to hold and immobilize the embryo while a micropipette injects or biopsies the target blastomere.