This video is a brief introduction to ForeCyt, the software package that operates IntelliCyt’s screening systems and provides powerful data analysis and presentation tools. This video is a great starting point if you are new to IntelliCyt’s screening platforms and is recommended viewing before you move on to the more advanced lessons in the IntelliCyt video training series. In this video, we will take a few minutes to navigate the major parts of ForeCyt and highlight the overall organization and workflow of the software.
This video walks through the steps required to build an analysis after your screening system is done sampling your plates. We will build an analysis starting from the well-identification step and learn how to use the most common analysis tools, including 1D histograms, 2D plots, and statistics panels. We will also take a look at some more advanced analysis techniques, like building custom metrics and creating logical populations.
Topics covered: naming experiments, choosing plate types, designing a plate, well types, dealing with multiple plates, renaming plates, creating a protocol, starting a run, using the controllernaming populations, creating plots, creating histograms, plot creation shortcuts, copy and paste gates, copying an analysis, adding an analysis, creating metrics, logical populations, and statistics panels.
ForeCyt is built around a unified workspace. This video shows you how easy it is to place gating strategies and visualizations all on one workspace. You will also see how the unified workspace allows you to make gating adjustments that update all of your visualizations in real-time. Finally, we will demonstrate how to create and manage multiple workspaces.
Topics covered: unified workspace, live updating plots, multiple workspaces, copy and paste visualizations.
This video introduces Metrics and demonstrates how they are constructed. Metrics are how ForeCyt lets you use numerical data from your visualizations and gates. For instance, if you want the “Median FL-1 height of cells”, you create a metric to get this information. This metric can then be used to create heatmaps or dose response curves. Using metrics to create data files for export is also covered.