Gating is an inherent component of FCM data analysis; it is a process where particles (i.e., cells) are subsetted according to physical and fluorescence characteristics. These properties are reflected in parameter values of events stored in FCS files. In practice, gating corresponds to assigning classes (labels) to these events. This can be done either manually or automatically. While manual gating is still dominant in traditional FCM, automatic gating methods are becoming more important in contemporary and high throughput approaches. This suite supports the application of manually created gates saved in Gating-ML as well as a variety of clustering algorithms developed for the use with flow cytometry data.
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