Simulating Depth Perception in Virtual Microscopy.

3D datasets production capacity in bioimaging has widely evolved in recent years. This trend also results in a growing demand of more suitable display procedures. In this paper, we propose a new virtual microscopy approach aiming at recovering the third dimension, in order to get closer to analogue microscopes. For this purpose, we rely on multi-view autosteroscopic display with off-centered parallel virtual cameras to ensure 3D perception for a more realistic user experience. Also, this approach handles very large volume data size thanks to an out-of-core data management structure which offers interactive navigation by using complete GPU algorithms.