质量保证
控制(管理)
集合(抽象数据类型)
免疫分型
计算机科学
质量(理念)
可靠性工程
医学
工程类
运营管理
人工智能
流式细胞术
外部质量评估
哲学
认识论
程序设计语言
免疫学
出处
期刊:Methods in molecular biology
日期:2019-01-01
卷期号:: 227-279
被引量:3
标识
DOI:10.1007/978-1-4939-9650-6_14
摘要
Applications of immunophenotyping using flow cytometry offer precise and accurate means for providing information used to both diagnose and monitor disease; they serve as a standard platform for many research endeavors that study discrete populations of biological entities. The proper use of this highly sophisticated technology requires daily and ongoing monitoring of both the instrument and the methodology. Best practices for this begin with quality control (QC) procedures designed to set up and monitor the instrument performance, the reagents, and the results to ensure that they are working properly both on the day of use and over time. If the results of those QC procedures are outside of acceptable then recording the corrective action taken must also be included in the quality control records. Quality assurance (QA) is a way to know that the three phases of testing, namely, preanalytic, analytic, and postanalytic procedures, are being followed. This chapter describes the procedures used to assess quality control as it pertains to flow cytometry and immunophenotyping in all three phases of testing.
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