The present invention relates to a method that generates new flow cytometry data files with a potentially infinite number of dimensions, each event contained in these data files having associated information for each of the whole set of parameters evaluated, such information deriving from data which was either directly measured in the flow cytometer or estimated afterwards. The invention comprises the steps of: 1) fusing two or more separate flow cytometry data files containing information about events measured in different aliquots from the same sample; these original data files contain, in common, data about one or more parameters at the same time they contain information about one or more different parameters, 2) estimating the magnitude of the values and a corresponding uncertainty measure of the differing variables between one or more of the original data files which have been fused, for each individual event contained in the fused data file, for which that variable was not directly measured in the flow cytometer and; 3) reconstructing multidimensionally the new data file containing both the real data measured in the flow cytometer for each event of the individual original data files fused and the estimated data for those parameters not measured in a group of events from one or more of the original data files. This invention enables the generation of data files containing information for single cellular events from a sample about a higher number of parameters than those actually measured in the flow cytometer for each of the original data files that have been fused; the overall number of parameters for which values are assigned to each individual cellular event included in the new data file can be as large as the total number of parameters measured in the whole group of fused data files. This allows a more powerful identification, enumeration and characterization of different populations of events contained in a sample.