Abstract
Among the popular fluorescence super-resolution microscopy imaging technologies that had broken the optical diffraction limit, structured illumination microscopy (SIM) holds the advantages of low phototoxicity, weak photobleaching, and fast imaging speed, and it is currently one of the mainstream technologies for super-resolution microscopy imaging of living cells. SIM uses the modulation of the structured illumination patterns to encode highfrequency information in the raw images into the low-frequency region, allowing it to pass through the optical transfer function (OTF), and then obtains super-resolution images through demodulation and reconstruction. The reconstructed image is affected by some important parameters of the illumination light field, so it is necessary to accurately estimate the unknown parameters of the illumination light field, especially the initial phase, to minimize artifacts in the reconstructed image. In this work, we have completed the experimental operation of SIM, and image reconstruction based on different phase reconstruction algorithms. Firstly, we reviewed the development history of SIM, and systematically introduced the principle of SIM to achieve super-resolution imaging and the phase estimation algorithms. Then, we discussed the technical difficulties of the hardware setup, and built a dual-beam interference SIM system based on the ferroelectric liquid crystal spatial light modulator (FLC-SLM). Finally, we used different phase estimation algorithms to extract the initial phases of the collected images, and some comparable results are obtained.
Published Version
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