门控
流式细胞术
计算机科学
多样性(控制论)
政府(语言学)
流量(数学)
计算生物学
免疫学
医学
生物
人工智能
神经科学
数学
几何学
语言学
哲学
作者
Janet Staats,Anagha A. Divekar,J. Philip McCoy,Holden T. Maecker
出处
期刊:Methods in molecular biology
日期:2019-01-01
卷期号:: 81-104
被引量:21
标识
DOI:10.1007/978-1-4939-9650-6_5
摘要
“Gating” refers to the selection of successive subpopulations of cells for analysis in flow cytometry. It is usually performed manually, based on expert knowledge of cell characteristics. However, there can be considerable disagreement in how gates should be applied, even between individuals experienced in the field. While clinical software often automates gating, and some guidelines do exist (especially for clinical assays), there are no comprehensive guidelines across the various types of immunological assays performed using flow cytometry. Here we attempt to provide such guidelines, focused on the most general and pervasive types of gates, why they are important, and what recommendations can be made regarding their use. We do so through the display of example data, collected by academic, government, and industry representatives. These guidelines should be of value to both novice and experienced flow cytometrists analyzing a wide variety of immunological assays.
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