Subclinical mastitis is a costly disease and its diagnosis is difficult. Besides the somatic cell count (SCC) and bacteriology, the differential inflammatory cell count (DICC) is a meaningful tool for mastitis detection. As microscopy is very subjective because of the low number of events to be counted, flow cytometry has often been proposed for the differentiation of milk cells. The objective of this study was to determine whether it is possible to identify subclinical mastitis in cattle at an early stage by a simple and fast flow cytometric method. The aim was to identify the main leucocyte populations in flow cytometric dotplots (polymorphonuclear neutrophils (PMN), lymphocytes and macrophages) and, with these, to elaborate a method of mastitis prognostics. Milk from 15 German Holstein cows was sampled in cross-sectional studies and SCC determined. After preparation, the milk cells were incubated with different specific antibodies that bind to different cell types and also to propidium iodide (PI), which differs between viable and non-viable cells. This procedure made it possible to localize cell types in a flow cytometric dot plot and to differentiate between viable and non-viable PMN. Percentages of viable PMN can be determined by a procedure consisting of a simple centrifugation, incubation with PI, and flow cytometric measurement. So it is possible to quickly determine the stage of the inflammation even in quarters with a low SCC.