Performance Evaluation of Body Fluid Cellular Analysis Using the Beckman Coulter UniCel DxH 800, Sysmex XN-350, and UF-5000 Automated Cellular Analyzers

BACKGROUND: Automated cellular analyzers are expected to improve the analytical performance in body fluid (BF) analysis. We evaluated the analytical performance of three automated cellular analyzers and established optimum reflex analysis guidelines. METHODS: A total of 542 BF samples (88 cerebrospinal fluid [CSF] samples and 454 non-CSF samples) were examined using manual counting and three automated cellular analyzers: UniCel DxH 800 (Beckman Coulter), XN-350 (Sysmex), and UF-5000 (Sysmex). Additionally, 2,779 BF analysis results were retrospectively reviewed. For malignant cell analysis, the receiver operating characteristic (ROC) curve was used, and the detection of high fluorescence-BF cells (HF-BFs) using the XN-350 analyzer was compared with cytology results. RESULTS: All three analyzers showed good agreement for total nucleated cell (TNC) and red blood cell (RBC) counts, except for the RBC count in CSF samples using the UniCel DxH 800. However, variable degrees of differences were observed during differential cell counting. For malignant cell analysis, the area under the curve was 0.63 for the XN-350 analyzer and 0.76 for manual counting. We established our own reflex analysis guidelines as follows: HF-BFs 83.4/100 WBCs or eosinophils >3.8% are the criteria for mandatory double check confirmation with 1,000× magnification examination. CONCLUSIONS: The three automated analyzers showed good analytical performances. Application of reflex analysis guidelines is recommended for eosinophils and HF-BFs, and manual confirmation is warranted.

Reference interval establishment of full blood count extended research parameters in the multi-ethnic population of Malaysia

@#Haematological cellular structures may be elucidated using automated full blood count (FBC) analysers such as Unicel DxH 800 via cell population data (CPD) analysis. The CPD values are generated by calculating volume, conductivity, and five types of scatter angles of individual cells which would form clusters or populations. This study considered 126 CPD parameter values of 1077 healthy Malaysian adults to develop reference intervals for each CPD parameter. The utility of the CPD reference interval established may range from understanding the normal haematological cellular structures to analysis of distinct cellular features related to the development of haematological disorders and malignancies.

Research on the application of digital diagnosis technology in maintenance for blood cell analyzer / 中国医学装备

Objective: To clarify the improvement of maintenance efficiency depending on digital diagnosis technology through the application of digital diagnosis tools for the new type blood cell analyzer in equipment maintenance. Methods: Combined with the actual case, to explore the application and expansion of digital diagnosis tool in maintenance for blood cell analyzer from different aspects, such as common cause analysis of partial absorption alarm, communication error, temperature control failure, the problem location of stepper motor encoder fault and other aspects. Results: By effective using digital diagnosis tool, the maintenance efficiency has been improved, the fault cause has been effectively analyzed, and this method can help technician to find fault phenomenon that would not normally be found by accidental fault in common maintenance and help them to locate accidental fault point. Conclusion: Digital diagnosis tools can fully use specialist data, find hidden danger of equipment fault in earlier, put forward judgment information for fault, and provide convenience for equipment maintenance.

Performance Evaluation of the DxH 800 Hematology Analyzer

In this study, the performance of a hematology analyzer, DxH 800 (Beckman Coulter, USA) was evaluated. The precision, carry-over, linearity, and comparison studies were performed according to the Clinical Laboratory Standards Institute guidelines. The test items were white blood cell, red blood cell, hemoglobin, red blood cell index, platelet, and reticulocyte counts. The 6C control and Retic-X cell control (Beckman Coulter) were used for precision evaluation. For the correlation study, the test results were compared with those obtained from the ADVIA 2120i (Siemens, USA) using 120 blood samples. The results of precision and carry-over evaluations were within acceptable range. The coefficient of determination (R 2) for linearity was good, being more than 0.99. The correlation coefficient (R) ranged from 0.945 to 0.996. DxH 800 was evaluated as an acceptable hematology analyzer for the automation of large volume of laboratory samples.