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27 January 2023 Illumination parameter estimation of structured illumination microscopy based on principal component analysis
Jiaming Qian, Yu Cao, Ying Bi, Hongjun Wu, Yongtao Liu, Qian Chen, Chao Zuo
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Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 125500U (2023) https://doi.org/10.1117/12.2670557
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China
Abstract
Structured illumination microscopy (SIM) is a powerful super-resolution method in bioscience, featuring full-field imaging and high photon efficiency. However, artifact-free super-resolution image reconstruction requires precise knowledge about the illumination parameters. In this work, we propose an efficient and robust SIM algorithm based on principal component analysis (PCA-SIM) combines iteration-free reconstruction, noise robustness, and limited computational complexity. These characteristics make PCA-SIM a promising method for high-speed, long-term, artifact-free super-resolution imaging of live cells.
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Jiaming Qian, Yu Cao, Ying Bi, Hongjun Wu, Yongtao Liu, Qian Chen, and Chao Zuo "Illumination parameter estimation of structured illumination microscopy based on principal component analysis", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 125500U (27 January 2023); https://doi.org/10.1117/12.2670557
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KEYWORDS
Principal component analysis
Super resolution
Microscopy
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