Figure 1.

In our view, six major steps are involved in the FC data analysis. An FC sample is represented by an n × p matrix, where n is the number of cells and p is the number of features measured in each cell. (1) The overlap of two spectra (green and yellow) emitted by two fluorochromes, which must be unmixed to correctly reconstruct the signals. (2) The density plots of a marker from several samples of a dataset after transforming data to stabilize the variance. (3) Four cell populations (marked with different colors) identified by a clustering algorithm. (4) Matching population to register corresponding cell clusters across a pair of samples. (5) The hierarchical construction of a template from six samples belonging to the same class. (6) Classifying a sample based on its similarity with two templates.