 The heterogeneous nature of extracellular vesicles, EVs, presents a challenge when using them as a diagnostic tool for cancer. Surface Plasmon Resonance Microscopy, SPRM, can be used to analyze these tiny particles but it is difficult because of their low contrast and poor signal-to-noise ratio. A new software package called Digital EV Analyzer, DEAE, was developed to address this issue. It enables fully automated single EV identification, digital counting, sizing, and quantifying dwell time. Additionally, DEAE includes a classification algorithm and intelligent searching algorithm for sub-population analysis. These features allow for accurate grouping of EVs from different sources, making SPRM more accessible for use in cancer diagnosis. This article was authored by Zifeng, Chunwei Zhao, Jiying Xu, and others.