Realtime-Processing of Nanocrystallography Images

In nanocrystallography, diffraction images are captured to gain insights into the structure of macromolecules. A new generation of experiments is able to take a vast amount of images in a short time. However, most of the images are not suitable for further research. It is not feasible to store and process all images in a reasonable amount of time. In previous work we proposed algorithms able to distinguish useful from useless data in photon science. In this article we propose and discuss a prototype implementation of the algorithms including further optimizations. We also consider its feasibility to cope with the realtime constraints.