Fast illumination parameter estimation of structured illumination microscopy

Jiaming Qian; Yu Cao; Ying Bi; Hongjun Wu; Qian Chen; Chao Zuo

doi:10.1117/12.2644830

30 December 2022 Fast illumination parameter estimation of structured illumination microscopy

Jiaming Qian, Yu Cao, Ying Bi, Hongjun Wu, Qian Chen, Chao Zuo

Proceedings Volume 12316, Advanced Optical Imaging Technologies V; 123160G (2022) https://doi.org/10.1117/12.2644830
Event: SPIE/COS Photonics Asia, 2022, Online Only

Conference Poster

Abstract

Structured illumination microscopy (SIM) is a widely available super-resolution technique for bioscience, especially for living cell research, due to its high photon efficiency. However, the quality of SIM depends extremely on the post-processing algorithms (parameter estimation and image reconstruction), where parameter estimation is the critical guarantee for successful super-resolution reconstruction. In this letter, we present a novel SIM approach based on principal component analysis (PCA-SIM) that statistically purifies experimental parameters from noise contamination to achieve high-definition super-resolution reconstruction. Experiments demonstrate that our method achieves more accurate (0.01 pixel wave vector and 0.1% of 2π initial phase) parameter estimation and superior noise immunity with an order of magnitude higher efficiency than conventional cross-correlation-based methods, offering the possibility of faster, less photon dose, longer duration living cell SIM.

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Jiaming Qian, Yu Cao, Ying Bi, Hongjun Wu, Qian Chen, and Chao Zuo "Fast illumination parameter estimation of structured illumination microscopy", Proc. SPIE 12316, Advanced Optical Imaging Technologies V, 123160G (30 December 2022); https://doi.org/10.1117/12.2644830

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