Local-FCS: a platform for image correlation spectroscopy

In this thesis, we introduced local-FCS, a novel analysis framework developed to address limitations in traditional image correlation spectroscopy and single-pixel autocorrelation methods. By leveraging spatial similarity among pixels, local-FCS improves the accuracy and precision of diffusional measurements, particularly in complex biological systems where spatial heterogeneity is significant. We applied this approach across diverse experimental contexts—model membranes, simulations, and live-cell studies—demonstrating a clear advantage in identifying and characterizing molecular diffusion over other methods.