These advances upstream of the specimen in the experiment, however, lead to new challenges downstream of the specimen, linked to the treatment and the evaluation of massive amounts of data. A schematic of the workflow in a SAXS measurement is shown in Fig. . The traditional way of conducting such an experiment would be the path symbolized by (A) and (B) in this figure . (A) represents specimen preparation and the experiment planning and (B) the data collection. These data would then be brought back from the synchrotron experiment for treatment and analysis. However, with the increased speed of data collection, a general challenge in this approach resides in the fact that the experimentalist is essentially blind without some capabilities of data diagnostics. This requires elementary pre-analysis of the data to see whether a modification of the beamline setup could improve the experiment. Recognizing this, software packages involving fast data diagnostics were developed, an example being DPDAK, an open code software introduced at the BESSY and the DESY synchrotrons (in Berlin and Hamburg, respectively) . beginning to improve the quality and speed of the experiment: C is a readjustment of the experiment setup based on rapid data diagnostics, D is data reduction and denoising, E is data analysis and F automatic material synthesis based on the measurement results.