snapshots per hour, consisting of an admixture of blank shots (no particle intercepted), and
exposures of one or more particles. Experimental data sets also often contain unintentional
contamination with different species. We present an unsupervised method able to sort
experimental snapshots without recourse to templates, specific noise models, or user-
directed learning. The results show 90% agreement with manual classification.