Journal
OPTICS EXPRESS
Volume 23, Issue 12, Pages 16154-16163Publisher
OPTICAL SOC AMER
DOI: 10.1364/OE.23.016154
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Funding
- German Research Foundation [SFB 937]
- German Ministry of Education and Research via the Bernstein Center for Computational Neuroscience Gottingen (BCCN) [01GQ1005A]
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Stochastic Optical Fluctuation Imaging (SOFI) is a super-resolution 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. (C) 2015 Optical Society of America
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