Pair cross-correlation analysis for assessing protein co-localization.

ABSTRACT: Measuring co-localization of different types of molecules is essential to understand molecular organization in biological systems. The pair cross-correlation (PCC) function computed from two-color microscopy images provides a measure of co-localization between differently labeled molecules. Here, we compute a theoretical expression for the PCC function between two molecules using two-dimensional Gaussian distributions as the effective point-spread functions for single molecules. Through our analytical calculations, we provide a quantitative description of PCC in the case of multiple signal pairs. By fitting our analytical solutions to simulated images, we can estimate both small and large separation distances. We then apply this method to malaria-infected red blood cells (RBCs) imaged by s

SUBMITTER: Patra P 

PROVIDER: S-EPMC12709269 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature