Deciphering cell to cell spatial relationship for pathology images using SpatialQPFs.

ABSTRACT: Understanding spatial dynamics within tissue microenvironments is crucial for deciphering cellular interactions and molecular signaling in living systems. These spatial characteristics govern cell distribution, extracellular matrix components, and signaling molecules, influencing local biochemical and biophysical conditions. Despite significant progress in analyzing digital pathology images, current methods for capturing spatial relationships are limited. They often rely on specific spatial features that only partially describe the complex spatial distributions of cells and are frequently tied to particular outcomes within predefined model frameworks. Furthermore, these methods are typically limited to field of view analysis, which restricts their capacity to capture spatial patterns acros

SUBMITTER: Li X 

PROVIDER: S-EPMC11605059 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature