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.
Fast calculation of fluorescence correlation data with asynchronous time-correlated single-photon counting
Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy
Achieving increased resolution and more pixels with Superresolution Optical Fluctuation Imaging (SOFI)
Simple super-resolution live-cell imaging based on diffusion-assisted Förster resonance energy transfer
Fast super-resolution imaging with ultra-high labeling density achieved by joint tagging super-resolution optical fluctuation imaging
Development of a reversibly switchable fluorescent protein for super-resolution optical fluctuation imaging (SOFI)
Synergizing superresolution optical fluctuation imaging with single molecule localization microscopy
Model-free uncertainty estimation in stochastical optical fluctuation imaging (SOFI) leads to a doubled temporal resolution
Moments reconstruction and local dynamic range compression of high order superresolution optical fluctuation imaging
Fluorescent Diarylethene Photoswitches-A Universal Tool for Super-Resolution Microscopy in Nanostructured Materials
Enhanced temporal and spatial resolution in super-resolution covariance imaging algorithm with deconvolution optimization.
Cell Imaging in CNS
Here is the latest research on cell imaging and imaging modalities, including light-sheet microscopy, in the central nervous system.