Overview
Early screening of somatic cell count (SCC) in incoming raw milk samples loads, i.e. before pooling, is necessary for avoiding waste of large amounts of milk. In order to accomplish this, a simple, portable and automated milk analysis tool is required that can efficiently determine SCC in the presence of fat particles. This project aims at the elaboration of high level signal processing and auto-clustering algorithms that will allow automated discrimination and quantification of different cell populations for use with impedance flow cytometers.
