Parameter estimation of the structured illumination pattern based on principal component analysis (PCA): PCA-SIM

摘要

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.