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首页> 外文期刊>Cytometry, Part B. Clinical cytometry: the journal of the International Society for Analytical Cytology >A Model for Continuous Quality Control Incorporating Sample-to-Sample Assessment of Optical Alignment, Fluorescence Sensitivity, and Volumetric Operation of Flow Cytometers
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A Model for Continuous Quality Control Incorporating Sample-to-Sample Assessment of Optical Alignment, Fluorescence Sensitivity, and Volumetric Operation of Flow Cytometers

机译:结合流式细胞仪光学对准,荧光灵敏度和体积操作的样品到样品评估的连续质量控制模型

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Background: Bead count rate (BCR) monitoring successfully identifies pipetting error during single platform CD4 enumeration. Despite rigorous prescribed quality control performed, preliminary data suggested that BCR outliers could also be attributed to occasional failure of flow cytometric volumetric operation. The aim of this report was to use counting beads in a model of continuous quality control (CQC) to monitor overall flow cytometric performance (laser alignment, fluorescence stability and volumetric operation). Methods: The proposed CQC model used FlowCheck~(TM) and IMMUNOTROL~(TM) blood controls daily. Extended monitoring of fluidics (FPV;beads and sheath only) and sample preparation (SPV;blood, IMMUNOPREP TM and beads) was done daily on five flow cytometers over five consecutive days prior to testing patient samples. Sample-to-sample CQC included monitoring BCR, selected time/fluorescence histograms (Time vs. Count;Time vs. Fluorescence and Forward Scatter vs. Fluorescence) and full peak coefficient of variation (FPCV) for 2000 samples tested. Results: Prescribed quality controls showed Half Peak CV values of <2% (FlowCheck) with Immunotrol within 0.5SD of the target means. Laser stability was confirmed (FPCV values <2%). However, fluidics (volumetric operation) fluctuated as indicated by a 3.2% BCR outlier rate of 2,000 samples tested (minus pipetting error) despite optimal fluidics performance verified at start-up (FPV CV < 3%). Conclusions: Sustained laser stability was confirmed with Time vs. Fluorescence histograms, but Time vs. Count histograms were insufficient to detect intermittent volumetric failure. The proposed CQC model, incorporating BCR monitoring with time/fluorescence histograms and FPCV monitoring can identify all volumetric inconsistencies in real-time.
机译:背景:珠计数率(BCR)监视成功识别了单平台CD4枚举期间的移液错误。尽管执行了严格的规定质量控制,但初步数据表明,BCR异常值也可能归因于流式细胞术体积操作的偶尔失败。本报告的目的是在连续质量控制(CQC)模型中使用计数珠来监测总体流式细胞仪性能(激光对准,荧光稳定性和体积操作)。方法:拟议的CQC模型每天使用FlowCheck〜和IMMUNOTROL〜血液对照。在测试患者样品之前,连续五天每天在五台流式细胞仪上进行流体(FPV;仅珠和鞘)和样品制备(SPV;血液,IMMUNOPREP TM和珠)的扩展监控。样品到样品的CQC包括监测BCR,选择的时间/荧光直方图(时间与计数;时间与荧光以及正向散射与荧光)和2000个测试样品的全峰变异系数(FPCV)。结果:规定的质量控制结果显示,半免疫组胺的半峰CV值<2%(FlowCheck),在目标平均值的0.5SD之内。确认了激光稳定性(FPCV值<2%)。但是,尽管在启动时已验证了最佳的流体性能(FPV CV <3%),但流体动力学(容积操作)却波动,如所测试的2,000个样品的3.2%BCR离群率(减去移液误差)所示。结论:时间与荧光直方图确认了持续的激光稳定性,但时间与计数直方图不足以检测间歇性容积衰竭。所提出的CQC模型将BCR监视与时间/荧光直方图和FPCV监视相结合,可以实时识别所有体积不一致性。

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