Cyto

Cyto performs automated analysis and interactive visualization of high-dimensional mass cytometry single-cell data to identify and characterize immune and cancer cell subpopulations.

Key Features:

• Workflow-based automation: Automates the application of state-of-the-art single-cell analysis methods to high-dimensional cytometry datasets.
• Interactive visualization: Provides interactive visualization capabilities for exploration and interpretation of mass cytometry single-cell data.
• Anduril integration: Integrates with the Anduril workflow platform to enable language-agnostic incorporation of new computational methods.
• Mass cytometry and FCS support: Processes mass cytometry datasets and FCS files to enable identification and characterization of cell populations.

Scientific Applications:

• Peripheral blood immune profiling: Identifies immune cell sub-populations in peripheral blood mass cytometry datasets.
• HGSOC tumor and ascites profiling: Characterizes immune and cancer cell subpopulations in high-grade serous ovarian cancer (HGSOC) tumor and ascites mass cytometry samples.

Methodology:

Automated execution of workflows within the Anduril platform that integrate advanced single-cell analysis techniques and interactive visualization for mass cytometry (FCS) data.