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R A Mickaels

Publications and source records attributed to R A Mickaels.

2 recordsLinked to original sources
PubMed1991

Multidimensional flow cytometric blood cell differentiation without erythrocyte lysis.

Forward light scattering, orthogonal light scattering, and the fluorescence intensities of unlysed peripheral blood cells, labeled with CD45-phycoerythrin and the nucleic acid dyes LDS-751 and thiazole orange, were measured simultaneously, utilizing a flow cytometer. Erythrocytes, reticulocytes, platelets, neutrophils, eosinophils, basophils, monocytes, lymphocytes, nucleated erythrocytes, and immature nucleated cells occupied unique positions in the five-dimensional space created by the listmode storage of the five independent parameters. A software program was developed which identified and enumerated each of these cell populations. Platelets in this study were identified by LDS-751 staining, in addition to their forward and orthogonal light-scattering characteristics. Validation of this approach was obtained by demonstrating that all CD41- or CD42-expressing platelets also stained with LDS-751. Furthermore, the staining by LDS-751 did not change following platelet activation with ADP. The quantification of erythrocytes, platelets, neutrophils, eosinophils, monocytes, and lymphocytes correlated well with data obtained with a commercial hematology whole blood analyzer (H-1). Reproducibility of the identification of these populations was shown by repeated measurement of the same sample and by staining and analysis of multiple aliquots of identical blood samples. Stability studies demonstrated that 8 hours after blood collection, the number of damaged cells increased. This could be measured by a greater thiazole orange uptake by the damaged cells. This investigation demonstrates the feasibility of multidimensional flow cytometric blood cell differentiation for an automated whole blood cell analysis without the necessity of erythrocyte lysis. The ability to simultaneously identify reticulocytes, nucleated erythrocytes, and immature nucleated cells in one measurement is unique and promises to be a powerful tool for the assessment of abnormal blood samples.

Antibodies, Monoclonal↗
PubMed1990

Increased light scattering resolution facilitates multidimensional flow cytometric analysis.

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.

Antigens, CD↗