将单染的数据(一定要包含空白管,并且最好单染以单染管的荧光通道来命名)拖入compensation中: 代入后点击主界面像彩虹桥一样的选项,即可进入补偿计算界面,在拟合好阳性群后点击apply to group即可应用: 第二种,直接建立补偿矩阵,在补偿矩阵里微调补偿,适合对补偿比较熟悉,对数据分析要求比较高的老师: 我们找到样本前...
C. 调补偿时尽量选择强阳性的信号,不在乎阳性群体细胞数量的多少,也就是直方图中Y轴的高度,关键是要与阴性群分的开。 ④补偿调完以后,点击“Apply To Group---All sample”,运用到所有样品中 (3)正向设定逻辑门 ①左键双击调过补偿的fcs格式数据出现流式散点图(建议首先对空白组细胞先处理),如下图所示 ②...
Finally, if you would like for changes made to a gate on one sample to automatically apply to all of the samples in a group, double click on a group in the Group panel and check the box for “Synchronized”, indicated by the arrow in the figure below. This will cause a gate change ...
Apply the new parameter to a single sample by clicking OK, or to a group by dragging the Derived Parameter node to the group in the workspace. To view your new parameter, open a Graph Window and select the new parameter from the X or Y axis dropdown menus. NOTES: A Derived Parameter...
Lesson 1 Fig.3 - bands To add a band, click on the Ribbon Configuration icon and simply drag the icon to your ribbon. Lesson 1 Fig.4 - ribbons menu 3 2) The Group section: Groups in FlowJo allow you to organize samples for common analyses. For example, you may want to apply an ...
and the table and graphical layout that you design. The Workspace is saved as a FlowJo document on your hard disk; when you reopen the document, you will see the status of your analysis as it was when it was last saved. This tutorial is designed to introduce you to the basics of the...
The “All Samples” group is created automatically and contains all the samples loaded into the Workspace. In this tutorial we will focus on a data set that does not need to be divided further into groups for analysis (see the Advanced Tutorial for a full appreciation of the power of ...
One issue with this, is that using the $FIL unstained can drive the analysis down the path of using a universal negative, and thatviolates the 2nd rule of compensation, so take a moment to edit this setting to prevent that. When you select the compensation group, the Compensation Icon i...
The Barnes-Hut approximation makes the simplifying assumption that the effects of points that are far away can be estimated as a group, rather than individually, since their effects are small anyway. This algorithm has an O(n log n) runtime per iteration, and thus offers a huge speedup ...
顶/踩数: 2/0 收藏人数: 3 评论次数: 0 文档热度: 文档分类: 医学/心理学--医学研究方法 系统标签: flowjoreferenceworkspacesanaylsesworkspacebiexponential TableofContents: AddingAnnotations197 AddingSamples27 AddingStatistics136 ApplyingCompensationtoPopulations 143 Backgating120 BatchAnalysis30 BiExponentialTran...