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Immunology and Infection

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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Article DOI: 10.3791/57473-v • 05:12 min • January 16th, 2019
January 16th, 2019 •
1,2,3, 1,2,4, 1,2, 1,2, 1,2, 1,2, 1,2,5
1The Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, 2The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 3Department of Biomedical Engineering, Johns Hopkins University School of Medicine, 4Department of Immunology, Johns Hopkins University School of Medicine, 5Department of Pathology, Johns Hopkins University School of Medicine

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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.

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ExCYT Graphical User Interface Streamlining Analysis High-Dimensional Cytometry Data Phenotype Biologically Relevant Sub-populations Programming Experience Cytometry Data Analysis High-dimensional Techniques Analysis Pipeline Cytometry Type Event Sampling Gate Population Downstream Analysis Number Of Channels T-SNE Analysis Reduced Dimensionality Dataset Marker-specific T-SNE Heat Map Representation Figure Generation Clustering Analysis Clustering Method Sort Clusters Threshold Value
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