RT Journal Article
SR Electronic
T1 Quantitative comparison of camera technologies for cost-effective Super-resolution Optical Fluctuation Imaging (SOFI)
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 413179
DO 10.1101/413179
A1 Robin Van den Eynde
A1 Alice Sandmeyer
A1 Wim Vandenberg
A1 Sam Duwé
A1 Wolfgang Hübner
A1 Thomas Huser
A1 Peter Dedecker
A1 Marcel Müller
YR 2019
UL http://biorxiv.org/content/early/2019/04/08/413179.abstract
AB Super-Resolution (SR) fluorescence microscopy is typically carried out on high-end research microscopes. Super-resolution Optical Fluctuation Imaging (SOFI) is a fast SR technique capable of live-cell imaging, that is compatible with many wide-field microscope systems. However, especially when employing fluorescent proteins, a key part of the imaging system is a very sensitive and well calibrated camera sensor. The substantial costs of such systems preclude many research groups from employing super-resolution imaging techniques.Here, we examine to what extent SOFI can be performed using a range of imaging hardware comprising different technologies and costs. In particular, we quantitatively compare the performance of an industry-grade CMOS camera to both state-of-the-art emCCD and sCMOS detectors, with SOFI-specific metrics. We show that SOFI data can be obtained using a cost-efficient industry-grade sensor, both on commercial and home-built microscope systems, though our analysis also readily exposes the merits of the per-pixel corrections performed in scientific cameras.