Content-aware image restoration: pushing the limits of fluorescence microscopy. Nonsmooth convex optimization for structured illumination microscopy image reconstruction. Deep-tissue label-free quantitative optical tomography. Lattice light-sheet microscopy: Imaging molecules to embryos at high spatiotemporal resolution. Speed limits of structured illumination microscopy. Video-rate multi-color structured illumination microscopy with simultaneous real-time reconstruction. Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy. The promise and peril of deep learning in microscopy. Deep learning enables cross-modality super-resolution in fluorescence microscopy. Optimal 2D-SIM reconstruction by two filtering steps with Richardson–Lucy deconvolution. Estimating missing information by maximum likelihood deconvolution. Studying different illumination patterns for resolution improvement in fluorescence microscopy. Measuring image resolution in optical nanoscopy. A new resolution criterion based on spectral signal-to-noise ratio. Structured illumination microscopy reveals focal adhesions are composed of linear subunits.
Image filtering in structured illumination microscopy using the Lukosz Bound. Response to comment on ‘Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics’. Comment on extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics. Strategic and practical guidelines for successful structured illumination microscopy. SIMcheck: a toolbox for successful super-resolution SIM imaging. Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ. Müller, M., Mönkemöller, V., Hennig, S., Hübner, W.
SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy. Phase optimization for structured illumination microscopy. Wicker, K., Mandula, O., Best, G., Fiolka, R. Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics. Nonlinear structured-illumination microscopy with a photoswitchable protein reveals cellular structures at 50-nm resolution. Nonlinear structured-illumination microscopy: wide-field fluorescence imaging with theoretically unlimited resolution. Saturated patterned excitation microscopy – a concept for optical resolution improvement. Time-lapse two-color 3D imaging of live cells with doubled resolution using structured illumination.
Super-resolution 3D microscopy of live whole cells using structured illumination.
Super-resolution video microscopy of live cells by structured illumination. Super-resolution structured illumination microscopy. Subdiffraction multicolor imaging of the nuclear periphery with 3D structured illumination microscopy. Three-dimensional resolution doubling in wide-field fluorescence microscopy by structured illumination. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy. Laterally modulated excitation microscopy: improvement of resolution by using a diffraction grating. Method of obtaining optical sectioning by using structured light in a conventional microscope. The benefits of the proposed approaches are demonstrated on focal adhesion and tubulin samples in two and three dimensions, and on nanofabricated fluorescent test patterns. This trade-off can be partly overcome by further notch filtering but at the expense of a decrease in signal-to-noise ratio. The new reconstructions point to a trade-off between contrast and a natural noise appearance. Both methods eliminate ad hoc user-adjustable reconstruction parameters in favor of physical parameters, enhancing objectivity. True-Wiener-filtered SIM optimizes contrast given the available signal-to-noise ratio, and flat-noise SIM fully overcomes the structured noise artifact while maintaining resolving power. Here we present a physically realistic noise model that explains the structured noise artifact, which we then use to motivate new complementary reconstruction approaches. Standard reconstruction algorithms, however, are prone to generate noise-specific artifacts that limit their applicability for lower signal-to-noise data. Super-resolution structured illumination microscopy (SIM) has become a widely used method for biological imaging.