Optical Technique, Volume. 49, Issue 5, 534(2023)
Fast point spread function parameter extraction algorithm based on linear regression
[1] [1] Volkmann H. Ernst Abbe and his work[J]. Applied Optics,1966,5(11):1720-1731.
[2] [2] Born M, Max E. Principles of Optics(7th)[M]. United Kingdom:Cambridge University Press,1999:465-472.
[3] [3] Leung B O, Chou K C. Review of super resolution fluorescence microscopy for biology[J]. Applied Spectroscopy,2011,65(9):967-980.
[4] [4] Vicidomini G, Bianchini P, Diaspro A. STED Super-resolved microscopy[J]. Nature Methods,2018,15:173-182.
[5] [5] Saxena M, Eluru G, Gorthi S. Structured illumination microscopy[J]. Advanced in Optics and Photonics,2015,7(2):241-275.
[6] [6] Mortensen K I, Churchman L S, James A, et al. Single-molecule localization super-resolution microscopy: deeper and faster[J]. Microscopy and Microanalysis,2012,18(6):1419-1429.
[7] [7] Henriques R, Griffiths C, Rego E H, et al. PALM and STORM: Unlocking live-cell super-resolution[J]. Biopolymers,2011,95(5):322-331.
[10] [10] Small A, Stahlheber S. Fluorophore localization algorithms for super-resolution microscopy[J]. Small,2014,267(11)3:267-279.
[11] [11] Mortensen K, Churchman S L, Spudich J A, et al. Optimized localization analysis for single-molecule tracking and super-resolution microscopy[J]. Nature Methods,2011,7(5):377-381.
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ZHANG Jianhong, DU Jin, ZHU Yadong, SHENG Zhengyi. Fast point spread function parameter extraction algorithm based on linear regression[J]. Optical Technique, 2023, 49(5): 534