Automated morphological classification and quantification of cerebrospinal fluid extracellular vesicles via AFM and machine learning

-coated mica, for which all morphometric data agreed very well with the near-native EV morphology observed in liquid AFM images on the same type of substrate. These findings represent a promising first step towards utilising AFM images of EVs for diagnostic purposes.