most automatic particle classification methods produce errors . the invention provides a method for improving the accuracy of particle classification while shortening the amount of manual review time required from the operator . the method uses class weights , which are statistically - derived correction factors that accounts for frequency of classification errors . a first class weight and a second class weight are assigned to the first class and the second class , respectively . the number of particles in each of the first and the second classes is multiplied by the first class weight and the second class weight , respectively , to generate a corrected number of particles in each of the classes . if particles are reclassified , the class weights are recalculated in response to the reclassification . the method is usable with a complete classification where all the particles in a sample are classified , or a selective classification of a subset of the particles in the sample .