FLOW CYTOMETER AND MULTIDIMENSIONAL DATA CLASSIFICATION METHOD AND APPARATUS THEREOF

摘要

According to a flow cytometer and a multidimensional data automatic classification method and apparatus thereof provided in the present application, auxiliary parameters and main parameters of a target cell group of each detection item are selected; statistical collection is first performed on particle characteristic data of cells according to the auxiliary parameters to obtain an interested cell group; statistical collection is then performed on the particle characteristic data according to the main parameters; afterwards, the interested cell group is mapped to a statistical result obtained in the statistical collection performed according to the main parameters; and finally, the target cell group is obtained according to position distribution and an edge of the interested cell group as well as main parameters gate setting. In this manner, the accuracy of the target cell group obtained by means of gate setting can be improved, and further, the accuracy of cell analysis is improved.