EpiGraph

EpiGraph quantifies epithelial organization in microscopy images by applying computational geometry and graph theory to characterize tissue arrangement.

Key Features:

• Computational Geometry & Graph Theory: Integrates computational geometry and graph theory to measure spatial relationships and organization within epithelial tissues.
• Beyond Polygon Distribution: Captures organizational traits beyond traditional polygon distribution analyses to provide a richer characterization of epithelia.
• Degree of Order Measurement: Quantifies the degree of order in packed epithelial tissues to assess global tissue organization.

Scientific Applications:

• Developmental Studies: Enables objective comparison of epithelial cell rearrangements during development by quantifying changes in global tissue organization.
• Homeostasis Analysis: Provides quantitative metrics to study how epithelial tissues maintain structure and function during homeostasis.

Methodology:

Combines computational geometry and graph theory to analyze the spatial arrangement of cells in epithelial tissues and quantifies tissue order by assessing multiple organizational traits beyond polygon distribution.