Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting

Kavli Affiliate: Barbara Baird | First 5 Authors: Sarah Veatch, Benjamin Machta, Sarah Shelby, Ethan Chiang, David Holowka | Summary: We present an analytical method to quantify clustering in super-resolution localization images of static surfaces in two dimensions. The method also describes how over-counting of labeled molecules contributes to apparent self-clustering and how the effective […]


Continue.. Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting