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27 April 2016 Fourier-interpolation superresolution optical fluctuation imaging (fSOFi) (Conference Presentation)
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Stochastic Optical Fluctuation Imaging (SOFI) is a superresolution fluorescence microscopy technique which allows to enhance the spatial resolution of an image by evaluating the temporal fluctuations of blinking fluorescent emitters. SOFI is not based on the identification and localization of single molecules such as in the widely used Photoactivation Localization Microsopy (PALM) or Stochastic Optical Reconstruction Microscopy (STORM), but computes a superresolved image via temporal cumulants from a recorded movie. A technical challenge hereby is that, when directly applying the SOFI algorithm to a movie of raw images, the pixel size of the final SOFI image is the same as that of the original images, which becomes problematic when the final SOFI resolution is much smaller than this value. In the past, sophisticated cross-correlation schemes have been used for tackling this problem. Here, we present an alternative, exact, straightforward, and simple solution using an interpolation scheme based on Fourier transforms. We exemplify the method on simulated and experimental data.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joerg Enderlein, Simon C. Stein, Anja Huss, Dirk Hähnel, and Ingo Gregor "Fourier-interpolation superresolution optical fluctuation imaging (fSOFi) (Conference Presentation)", Proc. SPIE 9714, Single Molecule Spectroscopy and Superresolution Imaging IX, 97140K (27 April 2016);

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