1. handling, storage, and labeling of the data to enable reproducible data analysis 2. human-based data analysis often largely exceeds experimental time frames 3. limited interdigitation of data acquisition and analysis 4. lack of automated or autonomous data analysis tools These technical restrictions often directly compromise material characterization and with this new material discoveries. One of the greatest challenges is the interdigitation of data-stream generation in a microscopy experiment and its direct analysis to provide live feedback to the researcher. Different approaches can be envisioned here where parallelized high-performance computation (HPC) utilizing modern graphical processing unit (GPU) capabilities is directly performed at the microscope computer or edge computing in a distributed system, where the HPC tasks are performed either on cloud servers or at HPC centres .