Automatic characterization of leukemic cells with 2D light scattering static cytometry

Abstract

Two-dimensional light scattering patterns of single normal granulocytes and acute leukemia cells (HL-60 cells) are obtained by using our label-free static cytometric technology. Conventional flow cytometry for the differentiation of these two types of cells is performed by measuring both the forward scattering (FSC) and side scattering (SSC). Our label-free static cytometer obtains the SSC patterns of single cells. By applying machine learning algorithm to the SSC patterns, a high accuracy rate for the classification of normal granulocytes and HL-60 cells is obtained. This may provide an automatic, label-free technique for leukemia analysis.