Cloud-Based Cytometry Analysis Application Overview

This case study details the capabilities of CellEngine, a cloud-based cytometry analysis application designed for the rapid analysis of large datasets, particularly in the context of CyTOF technology. The application is optimized for handling high-dimensional data, providing analytical and visualization functionalities that facilitate collaboration while ensuring data safety and security. Key features include automated cleanup tools developed with Standard BioTools, which allow for quick gating of viable singlet cells and generation of quality control reports. Additionally, CellEngine employs machine learning for automatic gate tailoring, enabling efficient extraction of relevant information. The application supports a variety of clustering and dimensionality reduction algorithms, capable of processing millions of cells in minutes. Users can create visualizations and reports directly within the platform, integrating with R and Python for enhanced bioinformatics capabilities. Furthermore, CellEngine meets regulatory requirements for use in 21 CFR part 11-regulated environments, ensuring compliance and security.