BACKGROUND: The XN-Series (Sysmex, Kobe, Japan) have been equipped with the automated digital cell imaging analyzer DI-60, which provides complete automation of the sample processing with automated complete blood counts (CBC), slide making/staining, and digital scanning with cell pre-classification. The aim of this study was to evaluate the efficacy of the XN-Series as an integrated blood cell analysis system. METHODS: White blood cell (WBC) morphological analysis by the DI-60 was evaluated using 232 blood samples from patients. Routine analysis of a total of 2000 blood samples has been performed to evaluate the processing ability of the XN-Series connected to the DI-60. RESULTS: The overall analysis accuracy of pre-classification of WBC by the DI-60 was 88.4%. Good correlation was observed between final results of the DI-60 analysis and manual differentiation with high sensitivity and specificity for blasts and immature granulocytes. The sample processing time of the XN-Series, from automated CBC to cell pre-classification, was 38±1 min/single run and 165±12 min/500 CBC samples run (slide preparation rate 15.6%) with no sample hold-up at the DI-60. CONCLUSIONS: The automated morphological analysis capability of the DI-60 has potential usefulness in the integrated automated hematology analysis system of XN-Series.
BACKGROUND: The XN-Series (Sysmex, Kobe, Japan) have been equipped with the automated digital cell imaging analyzer DI-60, which provides complete automation of the sample processing with automated complete blood counts (CBC), slide making/staining, and digital scanning with cell pre-classification. The aim of this study was to evaluate the efficacy of the XN-Series as an integrated blood cell analysis system. METHODS: White blood cell (WBC) morphological analysis by the DI-60 was evaluated using 232 blood samples from patients. Routine analysis of a total of 2000 blood samples has been performed to evaluate the processing ability of the XN-Series connected to the DI-60. RESULTS: The overall analysis accuracy of pre-classification of WBC by the DI-60 was 88.4%. Good correlation was observed between final results of the DI-60 analysis and manual differentiation with high sensitivity and specificity for blasts and immature granulocytes. The sample processing time of the XN-Series, from automated CBC to cell pre-classification, was 38±1 min/single run and 165±12 min/500 CBC samples run (slide preparation rate 15.6%) with no sample hold-up at the DI-60. CONCLUSIONS: The automated morphological analysis capability of the DI-60 has potential usefulness in the integrated automated hematology analysis system of XN-Series.