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Updated: Jul 17, 2025

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
Simone Puccio1,2, Giorgio Grillo3, Giorgia Alvisi4
1Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy. simone.puccio@humanitasresearch.it.
Abstract:
Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is considerable. Computational approaches are useful to identify novel subpopulations and molecular biomarkers, but generally require deep expertize in bioinformatics and the use of different platforms. To overcome these limitations, we introduce CRUSTY, an interactive, user-friendly webtool incorporating the most popular algorithms for FCM data analysis, and capable of visualizing graphical and tabular results and automatically generating publication-quality figures within minutes. CRUSTY also hosts an interactive interface for the exploration of results in real time. Thus, CRUSTY enables a large number of users to mine complex datasets and reduce the time required for data exploration and interpretation. CRUSTY is accessible at https://crusty.humanitas.it/ .
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