Abstract: The present disclosure provides a flow cytometer and a multidimensional data automatic classification method and apparatus thereof. An auxiliary parameters and a main parameter are selected for a target cell population of each detection item. A statistical analysis is first performed on particle characteristic data of cells according to the auxiliary parameters to obtain a cell population of interest. Another statistical analysis is then performed on the particle characteristic data according to the main parameter. Afterwards, the cell population of interest is mapped to a statistical result obtained in the statistical analysis performed according to the main parameter; and finally, the target cell population is obtained according to a distribution position and an edge of the-cell population of interest as well as a gating on the main parameter.