FCS Express 6 allows you to easily create summary data and plots that show your entire experimental results using Spreadsheets. Your spreadsheet(s) can contain information from data files, plots, or gates. When your gates change, so will the data in spreadsheets and any plot derived from them. Formulas can be used also to calculate custom data as well.  

 

In this tutorial, we will use spreadsheets and plots to aid in the visualization of data from antibody titration experiments.  This tutorial will demonstrate, by selecting the ideal antibody concentration the best separation between positive and negative cells will be achieved.

 

We will examine data from a titration experiment where seven different amounts of CD64 were used to stain peripheral blood mononuclear cells. Because CD64 is constitutively expressed on only macrophages and monocytes, we will examine the ratio of the intensity of fluorescence staining on the monocyte versus lymphocyte population. The negative population will be defined by the lymphocytes and the positive population by the monocytes.

 

In the course of this example, we will:

 

•Create a new spreadsheet and populate it by manually entering information as well and dragging and dropping statistics from gates and data files and calculate a CD64 signal to noise ratio.

•Insert a scatter plot displaying the data calculated within the spreadsheet.

 

 

In the first exercise, we will create a spreadsheet.