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Parameter estimation of the structured illumination pattern based on principal component analysis (PCA): PCA-SIM
Xin Chen1,2, Yiwei Hou1,2, Peng Xi3,4
1Department of Biomedical Engineering, College of Future Technology, Peking University, 100871, Beijing, China.
Light, Science & Applications
|February 8, 2023
Abstract:
Principal component analysis (PCA), a common dimensionality reduction method, is introduced into SIM to identify the frequency vectors and pattern phases of the illumination pattern with precise subpixel accuracy, fast speed, and noise-robustness, which is promising for real-time and long-term live-cell imaging.

