Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlation.

ABSTRACT: In fluorescence microscopy, computational algorithms have been developed to suppress noise, enhance contrast, and even enable super-resolution (SR). However, the local quality of the images may vary on multiple scales, and these differences can lead to misconceptions. Current mapping methods fail to finely estimate the local quality, challenging to associate the SR scale content. Here, we develop a rolling Fourier ring correlation (rFRC) method to evaluate the reconstruction uncertainties down to SR scale. To visually pinpoint regions with low reliability, a filtered rFRC is combined with a modified resolution-scaled error map (RSM), offering a comprehensive and concise map for further examination. We demonstrate their performances on various SR imaging modalities, and the resulting quanti

SUBMITTER: Zhao W 

PROVIDER: S-EPMC10721804 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature