A-075 Development and Validation of Image-based Cell Counter Microscanner C3 for CD34-positive Hematopoietic Stem Cell Enumeration

Abstract

Abstract Background Accurate measurement of CD34-positive hematopoietic stem cells (HSCs) is critical for successful peripheral blood stem cell transplantation (PBSCT). Flow cytometry is by far the gold standard for measuring CD34-positive stem cells. However, its complicated procedure requires time, cost and highly-trained operators, thus the necessity of simpler and cheaper alternative method is emerging. We have developed a new image-based cell counter, Microscanner C3 (MSC3, Biozentech, South Korea) as an alternative method for enumeration of CD34-positive HSCs and evaluated its performance. Methods 100 µl of apheresis product was stained with CD45-BB515 and CD34-PE antibodies (Becton Dickinson, USA) at room temperature in the dark. Red blood cell lysis with 500 µl of OptiLyze C solution (Beckman Coulter, USA) was followed by centrifugation. After the removal of supernatants, the sample was resuspended with 500 µL PBS, which then infused to filter paper imbedded BZ-1 microchip (Biozentech, South Korea). Thirty-fields of the loaded microchip was auto-scanned by MSC3 and its dedicated software analyzed the images and yielded CD34-positive cell fraction out of CD45-positive cells as percentage. Results of thirty-six samples were compared to that of FacsLyric (Beckton Dickinson, USA) flow cytometry and accuracy and imprecision (pentaplicate measurements for three samples), repeatability (two experimenters performed triplicate measurements for three samples each), linearity (triplicate measurements for five levels), limit of detection (hexaplicate measurements for five levels) and specificity (using whole blood specimen from three donors with monoclonal gammopathy, thrombocytosis or monocytosis) was evaluated. Results CV% values of inaccuracy, imprecision and repeatability did not exceed 15%. The method was found to be linear across the measuring range. LOD was evaluated to be 7 cells/µL and no background interference was detected. The difference between the measured fraction of MSC3 and FacsLyric was within allowable limit, with an R-value greater than 0.98. Conclusion We developed a reliable method for quantifying CD34-positive HSCs based on image analysis. The limitation involved in MSC3 applications in CD34-positive HSCs is that, like dual-platform flow cytometry, the results should be combined with the results of conventional hematology analyzer in order to define absolute HSC numbers. However, with its simpler and faster procedures, MSC3 exhibited a great potential to be used as an alternative to conventional flow cytometry in CD34-positive HSCs enumeration and other applications as well.