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Multidimensional flow cytometry identifies cell populations as clusters in a space created by the analysis of multiple parameters simultaneously. Optimal use of this multidimensional space requires each of the individual parameters to provide additional information for cell population discrimination as well as maximum utilization of the dynamic range available for each parameter. In this study we improve the visualization of the information present in light scattering signals from leukocytes to facilitate multidimensional flow cytometric analysis. Optimization of cell preparation techniques are essential to obtain high resolution light scattering signals that give complete separation of the granulocytes, monocytes, and granular and nongranular lymphocytes. The angle at which the forward scattered light was collected was modified to enhance the separation between leukocyte populations. Although orthogonal light scattering signals separate granular and nongranular lymphocytes, the resolution and dynamic range could not be displayed using linear or logarithmic functions. By applying a polynomial function to the orthogonal light scattering signals, all leukocyte populations could be displayed while maintaining high resolution. The combination of high resolution light scattering with a nonlinear display resulted in an equally spaced distribution of the cell populations distinguished by correlating forward and orthogonal light scattering signals. Using this approach, peripheral blood neutrophils, eosinophils, basophils, monocytes, and granular and nongranular lymphocytes were shown to occupy distinct locations in the correlation of orthogonal and forward light scattering. Surprisingly, the basophilic granulocytes were located close to granular lymphocytes and monocytes rather than near neutrophils and eosinophils.
Terstappen et al. (Mon,) studied this question.