Exploiting pair correlation function to describe biological tissue structure

Abstract excerpt

Multiplexed imaging technologies now enable the simultaneous profiling of hundreds to thousands of molecular targets in intact tissues, providing unprecedented insight into cellular heterogeneity and spatial organization. While data generation has rapidly matured, the quantitative analysis of spatial structure remains challenging and poorly standardized, particularly across biological length scales. Existing appro...

Topics

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• Algorithms
• Biomarkers, Tumor
• Cluster Analysis
• Gene Expression Profiling
• Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
• Neural Networks, Computer
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

f9e0282b-42c3-5cba-ab6e-408068bc0577

DOI

10.64898/2025.12.19.695425