A Flow Cytometry environment for Image Cytometry Data

 

Note: Prior to FCS Express 7.18.0015, FCS Express "Image Cytometry" was required to analyze image cytometry data.

 

Since version 7.18.0015, FCS Express contains by default exciting and unique tools for working with Image Cytometry data.

 

This tutorial is designed to provide an overview of many powerful new tools that allow you to work with image data in much the same way as flow cytometry data. Now you can combine population based analysis and single cell interrogation of your image cytometry results in one software package!  

 

This three section tutorial is designed to take you through prepared examples demonstrating the use of FCS Express with Image Cytometry data.

 

•Getting Started with Image Cytometry Data

•Using the High Content Module with Image Data

•Batch Processing and Reporting for Image Data

 

 

In the course of the tutorial, you will load and review image datasets, establish and modify gating strategies, view individual cells in cell galleries, and use the High Content feature to optimize and view a 96-well plate nuclear translocation assay.  The High Content feature enables review of multiparametric results and images from an entire plate.

 

A brief example of batch analysis and FCS Express reporting tools will be provided. This tutorial will not expand on the details of many common features and tools in FCS Express for which there are existing detailed tutorials.  When relevant, tutorials designed to drill down and teach those commonly-used  functions will be referenced.

 

In the course of this multi-part tutorial, we will specifically:

 

•Demonstrate loading image cytometry data and working with images

•Review gated populations in data grid with cell image galleries

•Review analysis and reporting tools for image cytometry

•Optimize the assay settings for a nuclear translocation assay

•Use the "High Content Analysis" module to work with an image-based assay in a 96-well plate

•Review batch analysis and reporting option for image cytometry data

 

 

Due to the large size of image data, we have only worked with a several example images for each part of the tutorial. The images are embedded in the example layouts.  We do not provide the image data from an entire 96-well plates in our Tutorial Sample Data Archive for examples using the High Content Add-on.  If you would like to move beyond this introductory tutorial and work with data from the whole study, please use our CellProfiler Export Tutorial.

 

Proceed to the next section to begin.