that is fully open-source and provides clear documentation of each analysis step for post-processing APT datasets that offers orders of magnitude performance gain, automation, and reproducibility. For now, these open tools are seldom used, and the community seems to wait user-friendly platforms, which so far do not exist. This hinders complete FAIR-workflows that are so far lacking, which precludes direct correlations with other computational or experimental techniques, but also wider meta-analyses as introduced by Meier et al. . Finally, there is a need for a repository of benchmark datasets that would allow to evaluate the performance of new developments in a transparent way across the community.