近年来, 随着各种新型荧光探针的出现和成像方法的改进, 远场光学成像的分辨率已经突破了衍射极限的限制。基于结构光照明的荧光显微技术凭借成像速度快、光毒性弱等优点, 已成为目前主流的超分辨成像技术之一。实现结构光照明超分辨显微成像的关键在于照明光场的精准调控和后期的超分辨图像重建算法, 否则将会在重建的超分辨图像中产生不可预估的伪影, 混淆对观测结构真实形态的判断。详细对比了几种典型的结构光照明显微超分辨重建算法, 证明基于图像重组变换的结构光照明超分辨图像重建算法可以有效解决极低结构光场调制度下的超分辨图像重建问题, 降低结构光照明显微中的激发光功率。

In recent years, the resolution of far field optical imaging has broken the limit of diffraction limit with the appearance of new fluorescent probes and the improvement of imaging methods. The fluorescence microscopy based on structured illumination has become one of the main superresolution imaging techniques owing to its advantages such as fast imaging speed and light toxicity. The most critical technologies in structured illumination microscopy are concentrated on rapid control of the high-quality illumination pattern and the image reconstruction method. An unsuitable method will generate the artifacts in the reconstruction super-resolution image and that may confuse the scientific evaluation of biological morphology. Several typical structured illumination microscopic super resolution reconstruction algorithms are compared. It is proven that the image transform of the structured illumination microscopic super resolution reconstruction algorithm based on image recombination transform can effectively solve the low structure light modulation under the super-resolution image reconstruction problem, and reduce the excitation power of the structured illumination microscopy.