CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data

Area of Science:

• Immunology
• Bioinformatics
• Computational Biology

Background:

• Flow cytometry (FCM) generates vast amounts of data from millions of cells.
• Analyzing FCM data computationally requires significant bioinformatics expertise and multiple platforms.
• Existing methods can be time-consuming and inaccessible to many researchers.

Purpose of the Study:

• To introduce CRUSTY, an accessible webtool for flow cytometry data analysis.
• To overcome limitations of complex bioinformatics tools for FCM data interpretation.
• To enable faster exploration and visualization of FCM datasets.

Main Methods:

• CRUSTY is an interactive, user-friendly webtool.
• It incorporates popular algorithms for FCM data analysis.
• The tool provides real-time interactive exploration and automated figure generation.

Main Results:

• CRUSTY simplifies the analysis of complex FCM datasets.
• It reduces the time required for data exploration and interpretation.
• Publication-quality figures are generated automatically within minutes.

Conclusions:

• CRUSTY democratizes FCM data analysis for a broader user base.
• The webtool significantly accelerates the interpretation of flow cytometry results.
• CRUSTY empowers researchers to mine complex biological data more efficiently.