Structured Illumination

Structured illumination microscopy (SIM) is a super-resolution imaging technique that overcomes the diffraction limit of light microscopy by using patterned illumination to reconstruct images with higher resolution than conventionally possible. Current research focuses on improving SIM's speed and robustness, particularly for dynamic processes, using deep learning approaches such as physics-informed neural networks and transformers, as well as exploring single-frame reconstruction methods to minimize acquisition time. These advancements are significantly impacting biological and medical research by enabling faster, more efficient, and higher-resolution imaging of live cells and dynamic processes.