Practice question

SIM generates super-resolution by illuminating sample with striped patterns that create moiré interference with fine specimen details. Raw moiré images captured at multiple phases and angles contain high-frequency information folded into observable range. Computational deconvolution and Fourier transformation separate overlapping frequencies and reconstruct doubled-resolution image with ~100 nm lateral detail. Unlike STORM or PALM which localize single molecules, SIM relies on algorithmic processing of interference patterns. This reconstruction requires precise knowledge of illumination geometry, making advanced image processing central to recovering super-resolved structures from moiré-containing datasets.