Structured illumination imaging uses multiple images of an object having different phase shifts in the sinusoidally patterned illumination to obtain lateral superresolution in stationary specimens in microscopy. In our recent work we have discussed a method to estimate these phase shifts a posteriori, allowing us to apply this technique to non-stationary objects such as in vivo tissue. Here we show experimental verification of our earlier simulations for phase shift estimation a posteriori. We estimated phase shifts in fluorescence microscopy images for an object having unknown, random translational motion and used them to obtain an artifact-free reconstruction having the expected superresolution.
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