CellEngine is a cloud-based software-as-a-service (SaaS) platform designed for comprehensive cytometry analysis, including flow, mass, and spectral cytometry data. It is optimized for speed, capable of analyzing large, high-dimensional datasets and millions of cells in minutes, which is significantly faster than many other analysis tools.
Key Features and Capabilities:
- Advanced Cytometry Analysis: Supports end-to-end analysis of flow, mass, and spectral cytometry data from a web browser.
- Supervised Autogating: Utilizes machine learning to automatically tailor gates based on a small set of manually gated files, reducing subjectivity and increasing consistency across large datasets.
- Advanced Algorithms: Includes optimized implementations of dimensionality reduction (UMAP, t-SNE, PCA) and clustering algorithms (FlowSOM, PhenoGraph, ECG, Leiden).
- Metadata-Driven Visualization: Enables the creation of advanced charts and visualizations, such as heatmaps, dose-response curves, bar/line charts, and pivot tables, all organized and filtered by experiment metadata.
- Comprehensive API: Offers a first-class HTTP API with dedicated toolkits for R and Python, allowing for integration with LIMS, ELN, EMR, and bioinformatics pipelines.
- Regulatory Compliance: Provides all the necessary features for use in regulatory-compliant workflows, including FDA 21 CFR Part 11 and EU Annex 11.
Target Users and Use Cases: CellEngine is leveraged by its parent company, CellCarta (a CRO), for their global flow cytometry analysis services, including multi-year clinical studies. It is offered as a SaaS solution to external users, targeting research groups, academic institutions, and pharmaceutical/biotech companies that require a GXP-ready platform for analyzing clinical trial data and high-volume, high-dimensional cytometry experiments.