Quantitative comparison of camera technologies for cost-effective Super-resolution Optical Fluctuation Imaging (SOFI) [raw datasets]

The project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreements No. 752080 and No. 766181. P.D. acknowledges support by the European Research Council via ERC Starting Grant 714688 and from the Research Foundation-Flanders (FWO) via grants G062616N, G0B8817N, G0A5817N, and VS.003.16N. R.V.D.E. thanks the FWO for a doctoral fellowship, S.D. thanks the FWO for a post-doctoral fellowship.

Raw datasets accompanying the analysis in "Quantitative comparison of camera technologies for cost-effective Super-resolution Optical Fluctuation Imaging (SOFI)" The datasets contain raw fluorescence microscopy images aimed to be processed in a SOFI analysis. They are acquired with different camera technologies, allowing for direct comparison of an industry-grade CMOS detector with both a scientific-grade sCMOS and emCCD detector.

Related Organizations

Bielefeld University
Germany
KU Leuven
Belgium

Keywords

super-resolution optical fluctuation imaging (SOFI), fluorescence microscopy, super-resolution imaging

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