In a paradigm-shifting paper currently available on the bioRxiv* preprint server, the researchers have dramatically extended the possibilities of computational microscopy in order to better understand both structure and dynamics of respiratory aerosols laden with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).