Spatial Statistics and Explainable Deep Learning for3D Cell-Protein Interaction Profiling
This study presents a hybrid computational framework combining stochastic spatial point processes and explainable 3D deep learning to reveal that while global microglial distribution remains unchanged in Parkinson's disease, there is a significant, region-specific increase in microglial-pSyn co-occupancy in the substantia nigra driven by distinct micro-morphological texture gradients.