Self-assembly in flow, where block copolymer dissolved in a solvent being vigorously mixed with water inside a micromixer to generate nanoaggregates with controlled self-assembled sizes has been studied in literature. Furthermore and as discussed above, previous work done by Buckinx et al. on self-assembly in continuous flow, where they studied morphology changes of self-assembled particles over varying flow parameters with high reproducibility when compared to conventional batch mode synthesis of nanoparticles, showed the potential and the vast chemical space that can be explored in the flow synthesis of nanoparticles. Yet, screening of this chemical space is practically prohibited in manual operation. Even if the grid size for a screening is limited, just varying the base parameters of concentration, overall flow rate and mixing ratios spans a multidimensional parameter space that requires hundreds of experiments for each polymer alone. Hence, automation is the only reasonable approach to tackle this research question, and to understand the influences of flow mixing on nanoparticle design rationally. Further, since the synthesis is at least in parts of chaotic nature, reproducibility must be considered specifically. Regardless, machine operation can reduce human bias significantly, thus giving access to the required data quality in the first place. For our setup, we used commercially available parts or modifications that can easily be applied, so that our methodology can be reproduced without specialist knowledge by others. All single parts are described in the supporting information, and our python code is available online from github (size-screening-via-automated-DLS.git). The flow parameters that were varied were the total flow rate, water/polymer mixing ratio and the absolute concentration of the block copolymer solution.