In this paper, we present a framework for cell manipulation tasks with visual servoing micromanipulation strategies. We have designed a vision-based micropositioning system to address the requirement of high precision needed to perform manipulation of objects under 100 microns in size. We also propose designs for tooltips to use on the micromanipulator to effect an automated crystal mounting. The system calibration (microscope-camera-micropositioner) and the model of the observed scene are not known. Experimental results for micropositioning tasks with respect to protein cells are presented and demonstrate the validity of the proposed approach.