(3) a cultural gap between experimentalists accustomed to graphical user interfaces (GUIs) and programming-oriented data scientists. Present-day analysis strongly relies on humans to inspect the data. Instrument manufacturers therefore provide monolithic visualization tools with a GUI, that read the instrument's raw files, provide a fixed set of processing schemes and export results in established generalpurpose image (jpg, tiff) or data formats (csv, hdf5) that drop context. In contrast, the wider machinelearning field thrives on plugging together open-source libraries and code snippets on demand, that require significant coding skills.