Evaluation of sted super-resolution image quality by image correlation spectroscopy (QuICS).

ABSTRACT: Quantifying the imaging performances in an unbiased way is of outmost importance in super-resolution microscopy. Here, we describe an algorithm based on image correlation spectroscopy (ICS) that can be used to assess the quality of super-resolution images. The algorithm is based on the calculation of an autocorrelation function and provides three different parameters: the width of the autocorrelation function, related to the spatial resolution; the brightness, related to the image contrast; the relative noise variance, related to the signal-to-noise ratio of the image. We use this algorithm to evaluate the quality of stimulated emission depletion (STED) images of DNA replication foci in U937 cells acquired under different imaging conditions. Increasing the STED depletion power improves the

SUBMITTER: Cerutti E 

PROVIDER: S-EPMC8531054 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature