Cira’s patent-pending Cytometric Fingerprinting technology represents a new, high-throughput platform for analysis of flow cytometric data. CF captures the set of multivariate probability distribution functions corresponding to list-mode data and then “flattens” them into a computationally-efficient fingerprint representation that facilitates automated analyses using powerful machine learning tools. CF supports both the generation and testing of hypotheses, eliminates sources of operator bias and provides an increased level of automation of data analysis.