title: Relevance of morphometric parameters for the classification of normal white blood cells.
abstract: An interactive morphometry system (Leitz T.A.S.) was used to extract 39 parameters from 1506 cells of five normal WBC classes. The data set was split in a learning set and a test set, and the value of each single parameter and of combinations of parameters was assessed with the interactive pattern recognition system ISPAHAN. A combination of nine densitogram parameters gave a correct classification in 92.6%; adding four geometrical and seven counting densitogram parameters improved this to 98.5%. It appeared that simple measurements are sufficient for a correct differentiation into the normal white blood cell types. In a pilot study fo 40 normal myeloid bone marrow cells of four classes a correct discrimination between mature and immature cells was reached in 93%. Extraction of parameters with the T.A.S. and their subsequent evaluation with ISPAHAN appeared to be an efficient method of white blood cell classification probably including immature cell types.
mesh_terms: D001322:Autoanalysis; D001854:Bone Marrow Cells; D003720:Densitometry; D006801:Humans; D007962:Leukocytes / Q000145:classification* / Q000166:cytology; D010363:Pattern Recognition, Automated