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Dataset Open Access

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

Van den Eynde, Robin; Sandmeyer, Alice; Vandenberg, Wim; Duwé, Sam; Hübner, Wolfgang; Huser, Thomas; Dedecker, Peter; Müller, Marcel

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.

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.
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Publication date:
July 24, 2019
DOI:
10.5281/zenodo.3341781

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Keyword(s):
super-resolution imaging fluorescence microscopy super-resolution optical fluctuation imaging (SOFI)
Grants:
European Commission:
  • FASTR 3D SIM - Focus on Advancing Spatial and Temporal Resolution of 3D Structured Illumination Microscopy (752080)
  • DeLIVER - Super-resolution optical microscopy of nanosized pore dynamics in endothelial cells (766181)
  • NanoCellActivity - Nanoscale live-cell activity sensing using smart probes and imaging (714688)
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