改良支气管肺泡灌洗液细胞分类计数制片及染色法

发布时间：2018-03-21 22:01

本文选题：支气管肺泡灌洗液　切入点：细胞分类计数　出处：《临床检验杂志》2014年02期 　论文类型：期刊论文

【摘要】：目的改良支气管肺泡灌洗液细胞分类制片及染色方法,并对其临床实用性进行验证。方法随机抽取50例门诊及住院患者肺泡灌洗液标本,分别用改良的自动化瑞氏吉姆萨染色法及传统手工HE染色法染色,由两名具有专业技术能力的检验人员分别进行显微镜下细胞分类计数,评估两种制片方法检测结果的可比性。结果两种方法对肺泡灌洗液中吞噬细胞、中性粒细胞、淋巴细胞和嗜酸性粒细胞计数一致性较好,相关系数(r)均0.95。改良法染色的细胞形态完整,细胞核和细胞浆分辨清楚,可见颗粒、空泡等细微结构;而传统法染色后的细胞固缩明显,细胞体积变小,细胞核和细胞浆分辨清晰度下降,颗粒和空泡等细胞结构辨认不清。改良法比传统法省去了滤液离心富集细胞的过程(6 min),并且使用自动化瑞氏吉姆萨染色法(20 min)代替了手工HE染色法(30 min),每份标本至少节省了15~20 min的制片和染色时间。结论改良的自动化瑞氏吉姆萨染色法优于手工HE染色法,更适用于支气管肺泡灌洗液细胞分类计数,尤其是批量检测。
[Abstract]:Objective to improve the cell classification and staining method of bronchoalveolar lavage fluid (BALF), and to verify its clinical practicability. The cells were classified and counted under the microscope by two professional and technical examiners, respectively, using the improved Raytheon Gimsa staining method and the traditional manual HE staining method. To evaluate the comparability of the results of the two methods. Results the two methods were consistent in the counts of phagocytes, neutrophils, lymphocytes and eosinophils in alveolar lavage fluid. Correlation coefficient (r) was 0.95.The cell morphology of the modified staining was complete, the nucleus and cytoplasm could be distinguished clearly, and the fine structures such as granules and vacuoles could be seen, while the pyknosis of the cells by traditional staining was obvious, and the cell volume became smaller. The resolution of nucleus and cytoplasm decreased, Cell structures such as granules and vacuoles are indistinguishable. The improved method saves 6 mins of the process of centrifugation and enrichment of cells in the filtrate compared with the traditional method, and uses automated Remsa staining for 20 mins instead of manual HE staining for 30 mins per specimen. At least 15 ~ 20 min was saved in the production and dyeing time. Conclusion the improved automated Remsa staining method is superior to the manual HE staining method. More suitable for bronchoalveolar lavage fluid cell classification count, especially batch detection.
【作者单位】：北京协和医院检验科;
【分类号】：R562.2

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