SpatialQPFs

SpatialQPFs extracts interpretable spatial features from cell imaging data using spatial statistical methodologies within a stochastic process framework.

Key Features:

• Spatial Statistical Framework: Applies spatial statistical methods for point process data, areal data, and geostatistical data using segmented cell information.
• Decoupled Feature Extraction: Separates spatial feature extraction from specific outcome models to enable flexible, large-scale spatial analyses.
• Whole-Slide Image Analysis: Captures spatial patterns across entire slides rather than being limited to field of view analysis.
• Comprehensive Spatial Toolkit: Provides a range of spatial statistical methods for analyzing complex spatial distributions of cells in tissue microenvironments.

Scientific Applications:

• Tissue Microenvironment Analysis: Deciphers cellular interactions and molecular signaling by characterizing cell distribution, extracellular matrix components, and signaling molecules.
• Digital Pathology: Enhances depth and accuracy of spatial insights derived from tissue data across diverse clinical and biological contexts.
• Tissue Biology and Pathology Research: Facilitates comprehensive spatial analyses to address complexities of tissue architecture.

Methodology:

SpatialQPFs leverages segmented cell information and applies spatial statistical methods within a stochastic process framework, including analyses of point process data, areal data, and geostatistical data.