Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy.

ABSTRACT: Modern implementations of widefield fluorescence microscopy often rely on sCMOS cameras, but this camera architecture inherently features pixel-to-pixel variations. Such variations lead to image artifacts and render quantitative image interpretation difficult. Although a variety of algorithmic corrections exists, they require a thorough characterization of the camera, which typically is not easy to access or perform. Here, we developed a fully automated pipeline for camera characterization based solely on thermally generated signal, and implemented it in the popular open-source software Micro-Manager and ImageJ/Fiji. Besides supplying the conventional camera maps of noise, offset and gain, our pipeline also gives access to dark current and thermal noise as functions of the exposure time. T

SUBMITTER: Diekmann R 

PROVIDER: S-EPMC9188588 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature