Zucker R M, Price O T
Reproductive Toxicology Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA.
Cytometry. 2001 Aug 1;44(4):295-308. doi: 10.1002/1097-0320(20010801)44:4<295::aid-cyto1121>3.0.co;2-c.
The coefficient of variation (CV) is defined as the standard deviation (sigma) of the fluorescent intensity of a population of beads or pixels expressed as a proportion or percentage of the mean (mu) intensity (CV = sigma/mu). The field of flow cytometry has used the CV of a population of bead intensities to determine if the flow cytometer is aligned correctly and performing properly. In a similar manner, the analysis of CV has been applied to the confocal laser scanning microscope (CLSM) to determine machine performance and sensitivity.
Instead of measuring 10,000 beads using a flow cytometer and determining the CV of this distribution of intensities, thousands of pixels are measured from within one homogeneous Spherotech 10-microm bead. Similar to a typical flow cytometry population that consists of 10,000 beads, a CLSM scanned image consists of a distribution of pixel intensities representing a population of approximately 100,000 pixels. In order to perform this test properly, it is important to have a population of homogeneous particles. A biological particle usually has heterogeneous pixel intensities that correspond to the details in the biological image and thus shows more variability as a test particle.
The bead CV consisting of a population of pixel intensities is dependent on a number of machine variables that include frame averaging, photomultiplier tube (PMT) voltage, PMT noise, and laser power. The relationship among these variables suggests that the machine should be operated with lower PMT values in order to generate superior image quality. If this cannot be achieved, frame averaging will be necessary to reduce the CV and improve image quality. There is more image noise at higher PMT settings, making it is necessary to average more frames to reduce the CV values and improve image quality. The sensitivity of a system is related to system noise, laser light efficiency, and proper system alignment. It is possible to compare different systems for system performance and sensitivity if the laser power is maintained at a constant value. Using this bead CV test, 1 mW of 488 nm laser light measured on the scan head yielded a CV value of 4% with a Leica TCS-SP1 (75-mW argon-krypton laser) and a CV value of 1.3% with a Zeiss 510 (25-mW argon laser). A biological particle shows the same relationship between laser power, averaging, PMT voltage, and CV as do the beads. However, because the biological particle has heterogeneous pixel intensities, there is more particle variability, which does not make as useful as a test particle.
This CV analysis of a 10-microm Spherotech fluorescent bead can help determine the sensitivity in a confocal microscope and the system performance. The relationship among the factors that influence image quality is explained from a statistical endpoint. The data obtained from this test provides a systematic method of reducing noise and increasing image clarity. Many components of a CLSM, including laser power, laser stability, PMT functionality, and alignment, influence the CV and determine if the equipment is performing properly. Preliminary results have shown that the bead CV can be used to compare different confocal microscopy systems with regard to performance and sensitivity. The test appears to be analogous to CV tests made on the flow cytometer to assess instrument performance and sensitivity. Published 2001 Wiley-Liss, Inc.
变异系数(CV)定义为一群珠子或像素荧光强度的标准差(σ),表示为平均(μ)强度的比例或百分比(CV = σ/μ)。流式细胞术领域已使用一群珠子强度的CV来确定流式细胞仪是否正确校准并正常运行。以类似的方式,CV分析已应用于共聚焦激光扫描显微镜(CLSM),以确定仪器性能和灵敏度。
不是使用流式细胞仪测量10000个珠子并确定该强度分布的CV,而是从一个均匀的Spherotech 10微米珠子内测量数千个像素。类似于由10000个珠子组成的典型流式细胞术群体,CLSM扫描图像由代表约100000个像素群体的像素强度分布组成。为了正确进行此测试,拥有一群均匀的颗粒很重要。生物颗粒通常具有与生物图像中的细节相对应的异质像素强度,因此作为测试颗粒显示出更大的变异性。
由一群像素强度组成的珠子CV取决于许多仪器变量,包括帧平均、光电倍增管(PMT)电压、PMT噪声和激光功率。这些变量之间的关系表明,仪器应以较低的PMT值运行,以产生更高质量的图像。如果无法实现这一点,则需要进行帧平均以降低CV并提高图像质量。在较高的PMT设置下有更多的图像噪声,因此有必要平均更多的帧以降低CV值并提高图像质量。系统的灵敏度与系统噪声、激光效率和正确的系统校准有关。如果激光功率保持恒定值,则可以比较不同系统的性能和灵敏度。使用此珠子CV测试,在扫描头上测量的1 mW 488 nm激光,Leica TCS-SP1(75 mW氩氪激光)的CV值为4%,Zeiss 510(25 mW氩激光)的CV值为1.3%。生物颗粒与珠子一样,在激光功率、平均、PMT电压和CV之间显示出相同的关系。然而,由于生物颗粒具有异质像素强度,颗粒变异性更大,这使其作为测试颗粒不太有用。
对10微米Spherotech荧光珠的这种CV分析有助于确定共聚焦显微镜的灵敏度和系统性能。从统计终点解释了影响图像质量的因素之间的关系。从该测试获得的数据提供了一种降低噪声和提高图像清晰度的系统方法。CLSM的许多组件,包括激光功率、激光稳定性、PMT功能和校准,都会影响CV并确定设备是否正常运行。初步结果表明,珠子CV可用于比较不同共聚焦显微镜系统的性能和灵敏度。该测试似乎类似于对流式细胞仪进行的CV测试,以评估仪器性能和灵敏度。2001年由Wiley-Liss公司出版。