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

作     者：Xin Chen Yiwei Hou Peng Xi Xin Chen;Yiwei Hou;Peng Xi

作者机构：Department of Biomedical EngineeringCollege of Future TechnologyPeking University100871 BeijingChina National Biomedical Imaging CenterPeking University100871 BejingChina 

出 版 物：《Light(Science & Applications)》 (光（科学与应用)（英文版）)

年 卷 期：2023年第12卷第2期

页      面：150-152页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

主　　题：pattern illumination component 

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.