ExCYT is a MATLAB-based Graphical User Interface (GUI) that allows users to analyze their flow cytometry data via commonly employed analytical techniques for high-dimensional data including dimensionality reduction via t-SNE, a variety of automated and manual clustering methods, heatmaps, and novel high-dimensional flow plots.
This current version allows for multi-sample/multi-cohort comparative analyses. The main change in the workflow from ExCYT to ExCYT2 is that following the importation of the fcs files, one can use the Assign button to assign files to cohorts for comparative analyses.
For questions or help, email: jsidhom1@jhmi.edu
This version of ExCYT builds on the original work in the initial publication of the following manuscript. Full instructions on how to use this software can be found at the following link:
https://www.jove.com/video/57473/excyt-graphical-user-interface-for-streamlining-analysis-high
If you find ExCYT helpful, please cite:
Sidhom, J. W., Theodros, D., Murter, B., Zarif, J. C., Ganguly, S., Pardoll, D. M., Baras, A. ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data. J. Vis. Exp. (143), e57473, doi:10.3791/57473 (2019).
In order to run ExCYT, install MATLAB R2018b, download main directory and run FlowGUImultiple.m from the MATLAB command line to open GUI.