探测器
荧光
补偿(心理学)
信号(编程语言)
溢出效应
光子计数
度量(数据仓库)
能量(信号处理)
光学
波长
物理
光子
光电子学
计算机科学
生物系统
生物
数据库
经济
微观经济学
量子力学
程序设计语言
心理学
精神分析
作者
Debajit Bhowmick,Timothy Bushnell
标识
DOI:10.1007/978-1-0716-3738-8_4
摘要
Since the development of the first instrument in the late 1960s, flow cytometry (FC) has become a powerful tool in both the clinical and research space. As one of the earliest single-cell analytical techniques, flow cytometry can measure thousands of cells in minutes, allowing researchers an unprecedented understanding of the biology of their system of interest. There are commercial systems available that can measure over 40 different parameters at the same time. The most common assay, immunophenotyping, involves labeling cells with fluorescently conjugated antibodies. The process of fluorescence occurs when a fluorescent molecule first absorbs a photon of light, which promotes an electron to a higher energy state. This energy is released by the emission of a photon of lower energy (thus a higher wavelength). The emitted photon will be within a range of visible wavelengths. When measured on a flow cytometer, this results in the fluorescent signal being measured not just in the primary detector but also in one or more secondary detectors. Termed "spillover," this is when the fluorescent signal measured in a detector other than the intended one creates a problem in identifying the real signal. The process of compensation is used to address this spectral spillover. However, in correcting for the spillover by compensation, the spread of the data is revealed. This spread can be quantified, and, here, we discuss two methods that can be used to identify and measure this spectral spread for any combination of fluorochromes. The output of these methods is useful in experimental design and monitoring instrument quality control. Armed with this information, the researcher can better design polychromatic panels to minimize the impact of spread on their data.
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