[1] S. W. Hell, J. Wichmann. Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy. Opt. Lett., 19, 780-782(1994).

[2] H. Blom, J. Widengren. Stimulated emission depletion microscopy. Chem. Rev., 117, 7377-7427(2017).

[3] D. Wildanger, R. Medda, L. Kastrup. A compact STED microscope providing 3D nanoscale resolution. J. Microsc., 236, 35-43(2009).

[4] E. Betzig, G. H. Patterson, R. Sougrat. Imaging intracellular fluorescent proteins at nanometer resolution. Science, 313, 1642-1645(2006).

[5] M. J. Rust, M. Bates, X. Zhuang. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat. Methods, 3, 793-795(2006).

[6] S. T. Hess, T. P. K. Girirajan, M. D. Mason. Ultra-high resolution imaging by fluorescence photoactivation localization microscopy. Biophys. J., 91, 4258-4272(2006).

[7] M. G. L. Gustafsson. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy. J. Micrsco., 198, 82-87(2000).

[8] R. Heintzmann, T. Huser. Super-resolution structured illumination microscopy. Chem. Rev., 117, 13890-13908(2017).

[9] J. Demmerle, C. Innocent, A. J. North. Strategic and practical guidelines for successful structured illumination microscopy. Nat. Protoc., 12, 988-1010(2017).

[10] D. Li, L. Shao, B.-C. Chen. Extended-resolution structured illumination imaging of endocytic and cytoskeletal dynamics. Science, 349, aab3500(2015).

[11] X. Huang, J. Fan, L. Li. Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy. Nat. Biotechnol., 36, 451-459(2018).

[12] Q. Chen, X. Shao, P. Ling. Quantitative analysis of interactive behavior of mitochondria and lysosomes using structured illumination microscopy. Biomaterials, 250, 120059(2020).

[13] A. V. Weigel, C. L. Chang, G. Shtengel. ER-to-Golgi protein delivery through an interwoven, tubular network extending from ER. Cell, 184, 2412-2429(2021).

[14] F. Strohl, C. F. Kaminski. Speed limits of structured illumination microscopy. Opt. Lett., 42, 2511-2514(2017).

[15] F. Orieux, E. Sepulveda, V. Loriette. Bayesian estimation for optimized structured illumination microscopy. IEEE Trans. Image Process., 21, 601-614(2012).

[16] A. Lal, C. Shan, K. Zhao. A frequency domain SIM reconstruction algorithm using reduced number of images. IEEE T. Image Process., 27, 4555-4570(2018).

[17] S. Dong, J. Liao, K. Guo. Resolution doubling with a reduced number of image acquisitions. Biomed. Opt. Express, 6, 2946-2952(2015).

[18] C. Ling, C. Zhang, M. Wang. Fast structured illumination microscopy via deep learning. Photonics Res., 8, 1350-1359(2020).

[19] W. Meiniel, P. Spinicelli, E. D. Angelini. Reducing data acquisition for fast structured illumination microscopy using compressed sensing. Proceedings of the IEEE International Symposium on Biomedical Imaging, 32-35(2017).

[20] B. Ozgurun, M. Cetin. Compressed sensing structured illumination microscopy. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 1828-1831(2020).

[21] X. Yuan, D. J. Brady, A. K. Katsaggelos. Snapshot compressive imaging: theory, algorithms, and applications. IEEE Signal Process. Mag., 38, 65-88(2021).

[22] Y. He, Y. Yao, D. Qi. High-speed super-resolution imaging with compressive imaging-based structured illumination microscopy. Opt. Express, 30, 14287-14299(2022).

[23] R. G. Baraniuk. Compressive sensing. IEEE Signal Process. Mag., 24, 118-121(2007).

[24] R. G. Baraniuk, V. Cevher, M. F. Duarte. Model-based compressive sensing. IEEE Trans. Inf. Theory, 56, 1982-2001(2010).

[25] P. Llull, X. Liao, X. Yuan. Coded aperture compressive temporal imaging. Opt. Express, 21, 10526-10545(2013).

[26] M. Qiao, X. Yuan. Coded aperture compressive temporal imaging using complementary codes and untrained neural networks for high-quality reconstruction. Opt. Lett., 48, 109-112(2023).

[27] S. Boyd, N. Parikh, E. Chu. Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn., 3, 1-122(2010).

[28] S. H. Chan, X. Wang, O. A. Elgendy. “Plug-and-play ADMM for image restoration: fixed-point convergence and applications. IEEE Trans. Comput. Imaging, 3, 84-98(2017).

[29] X. Yuan, Y. Liu, J. Suo. Plug-and-play algorithms for video snapshot compressive imaging. IEEE Trans. Pattern Anal. Mach. Intell., 44, 7093-7111(2022).

[30] K. Zhang, Y. Li, W. Zuo. Plug-and-play image restoration with deep denoiser prior. IEEE Trans. Pattern Anal. Mach. Intell., 44, 6360-6376(2022).

[31] K. Zhang, W. Zuo, L. Zhang. Deep plug-and-play super-resolution for arbitrary blur kernels. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1671-1681(2019).

[32] I. J. Myung. Tutorial on maximum likelihood estimation. J. Math. Psychol., 47, 90-100(2003).

[33] Y. Wang, J. Yang, W. Yin. A new alternating minimization algorithm for total variation image reconstruction. SIAM J. Imaging Sci., 1, 248-272(2008).

[34] A. Lal, C. Shan, P. Xi. Structured illumination microscopy image reconstruction algorithm. IEEE J. Sel. Top. Quantum Electron., 22, 6803414(2016).

[35] X. Chen, S. Zhong, Y. Hou. Superresolution structured illumination microscopy reconstruction algorithms: a review. Light Sci. Appl., 12, 172(2023).

[36] G. Wen, S. Li, L. Wang. High-fidelity structured illumination microscopy by point-spread-function engineering. Light Sci. Appl., 10, 70(2021).

[37] A. Descloux, K. S. Grußmayer, A. Radenovic. Parameter-free image resolution estimation based on decorrelation analysis. Nat. Methods, 16, 918-924(2019).

[38] M. Schrader, L. F. Godinho, J. L. Costello. The different facets of organelle interplay: an overview of organelle interactions. Front. Cell Dev. Biol., 3, 56(2015).

[39] R. D. Vale. The molecular motor toolbox for intracellular transport. Cell, 112, 467-480(2003).

[40] Y. Gong, C. Huang, J. Z. Li. High-speed recording of neural spikes in awake mice and flies with a fluorescent voltage sensor. Science, 350, 1361-1366(2015).

[41] P. Wang, L. Wang, M. Qiao. Full-resolution and full-dynamic-range coded aperture compressive temporal imaging. Opt. Lett., 48, 4813-4816(2023).

[42] M. G. L. Gustafsson, L. Shao, P. M. Carlton. Three-dimensional resolution doubling in wide-field fluorescence microscopy by structured illumination. Biophys. J., 102, 13081-13086(2005).

[43] L. Schermelleh, P. M. Carlton, S. Haase. Subdiffraction multicolor imaging of the nuclear periphery with 3D structured illumination microscopy. Science, 320, 1332-1336(2008).

[44] M. G. L. Gustafsson. Nonlinear structured-illumination microscopy: wide-field fluorescence imaging with theoretically unlimited resolution. Proc. Natl. Acad. Sci. USA, 102, 13081-13086(2005).

[45] H. Zhang, M. Zhao, L. Peng. Nonlinear structured illumination microscopy by surface plasmon enhanced stimulated emission depletion. Opt. Express, 19, 24783-24794(2011).

[46] Z. Huang. Data for CECI-SIM(2024).