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Free keywords:
Algorithms, Cell Line, Computer Simulation, Fourier Analysis, Fourier ring correlation, Humans, Image Processing, Computer-Assisted, Nuclear Pore, Resolution, Software, Super-resolution microscopy
Abstract:
Optical nanoscopy techniques using localization based image reconstruction, also termed super-resolution microscopy (SRM), have become a standard tool to bypass the diffraction limit in fluorescence light microscopy. The localization precision measured for the detected fluorophores is commonly used to describe the maximal attainable resolution. However, this measure takes not all experimental factors, which impact onto the finally achieved resolution, into account. Several other methods to measure the resolution of super-resolved images were previously suggested, typically relying on intrinsic standards, such as molecular rulers, or on a priori knowledge about the specimen, e.g. its spatial frequency content. Here we show that Fourier ring correlation provides an easy-to-use, laboratory consistent standard for measuring the resolution of SRM images. We provide a freely available software tool that combines resolution measurement with image reconstruction.
