This type of scaling has opened the door for computational analyses that were previously impractical. One of the benefits of the 4D-STEM technique is the ability to perform multi-scale data analysis, combining atomic-scale spatial sampling with very large fields of view.  Without a scaled parallel implementation, one would need to give up either the spatial sampling or the field-of-view when analyzing larger datasets.