3D structures in crystalline materials can be made visible using scanning transmission stereo electron microscopy (STEM-Stereo). A major challenge is the quantification of the thickness of the respective TEM samples. Also, the densities, directions and lengths of dislocations in the sample can only be approximated manually which requires a large amount of work. The aim of this project is to develop a software tool that facilitates the reconstruction, visualization and quantification of dislocation structures in TEM samples on the basis of stereo image pairs. The tool should significantly reduce the amount of work as well as improve the accuracy of the reconstructions and density estimations compared to previous methods.