High-speed super-resolution imaging with compressive imaging-based structured illumination microscopy

作者：He, Yilin; Yao, Yunhua; Qi, Dalong; Wang, Zhiyong; Jia, Tianqing; Liang, Jinyang; Sun, Zhenrong; Zhang, Shian^*

来源：Optics Express, 2022, 30(9): 14287-14299.

DOI：10.1364/OE.453554

• RECONSTRUCTION ALGORITHM
• STIMULATED-EMISSION
• RESOLUTION LIMIT
• REDUCED NUMBER

Structured illumination microscopy (SIM) has been widely applied to investigating fine structures of biological samples by breaking the optical diffraction limitation. So far, video-rate imaging has been obtained in SIM, but the imaging speed was still limited due to the reconstruction of a super-solution image through multi-sampling, which hindered the applications in high-speed biomedical imaging. To overcome this limitation, here we develop compressive imaging-based structured illumination microscopy (CISIM) by synergizing SIM and compressive sensing (CS). Compared with conventional SIM, CISIM can greatly improve the super-resolution imaging speed by extracting multiple super-resolution images from one compressed image. Based on CISIM, we successfully reconstruct the super-resolution images in biological dynamics, and analyze the effect factors of image reconstruction quality, which verify the feasibility of CISIM. CISIM paves a way for high-speed super-resolution imaging, which may bring technological breakthroughs and significant applications in biomedical imaging.

• 单位
  1; 电子科技大学