Performance evaluation of the digital cell imaging analyzer DI-60 integrated into the fully automated Sysmex XN hematology analyzer system.

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.

Performance evaluation of the automated morphological analysis of erythrocytes by CellaVision DM96.

BACKGROUND: Automated digital morphology systems are utilized for blood cell morphological examination. The aim of this study is to evaluate the accuracy and efficacy of RBC morphological anomaly screening using the CellaVision DM96 (DM96) automated image analysis system. METHODS: The automated analysis of RBC shape, size, and chromasia abnormalities was conducted on the DM96 using 478 blood samples. A manual microscopic review was independently performed. RESULTS: The DM96 preclassified samples as poikilocytosis-positive for 98% of cases with schistocytosis or echinocytosis, 97% of elliptocytosis, and 92% or 65% of cases that were positive for teardrop cells or for target cells, respectively. The accuracy of the DM96 in the detection of RBC size and chromasia abnormalities of iron deficiency anemia cases was higher than direct microscopic observation. CONCLUSIONS: Automated morphological analysis with the DM96 has potential utility in the morphological screening of RBC anomalies that are associated with disease.