We demonstrate a novel approach to super-resolution in stimulated Raman scattering based on single-pixel detection scheme. We exploit speckle structured illumination, and enable fast super-resolution microscopy using Raman contrasts. The methodology is straightforward to implement and provides label-free super-resolution imaging of optically thick specimens, therefore paving the way for probing complex biological systems when exogenous labelling is challenging.
We present a simulation of stimulated Raman scattering that could make deep super resolution imaging possible with chemical selectivity and relatively low power levels. For this, we directly use speckles as a structured illumination pattern in a coherent Raman scattering processes, in particular Stimulated Raman Scattering. Using off-the-shelf conjugate gradient-based algorithm, we demonstrate that the method enables super-resolution better than conventional raster scanning techniques.
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