[1] Rodenburg J M, Faulkner H M L. A phase retrieval algorithm for shifting illumination[J]. Applied Physics Letters, 85, 4795-4797(2004).

[2] Yao Y D, Liu C, Pan X C et al. Research status and development trend of PIE imaging method[J]. Chinese Journal of Lasers, 43, 0609001(2016).

[3] Zheng G A, Horstmeyer R, Yang C. Wide-field, high-resolution Fourier ptychographic microscopy[J]. Nature Photonics, 7, 739-745(2013).

[4] Horstmeyer R, Yang C. A phase space model of Fourier ptychographic microscopy[J]. Optics Express, 22, 338-358(2014).

[5] Ou X, Horstmeyer R, Yang C et al. Quantitative phase imaging via Fourier ptychographic microscopy[J]. Optics Letters, 38, 4845-4848(2013).

[6] Zhao M, Wang X M, Zhang X H et al. Experimental research on macroscopic Fourier ptychography super-resolution imaging[J]. Laser & Optoelectronics Progress, 56, 121101(2019).

[7] Zhang S H, Zhou G C, Cui B Q et al. Review of Fourier Ptychographic Microscopy: Models, Algorithms, and Systems[J]. Laser & Optoelectronics Progress, 58, 1400001(2021).

[8] Kappeler A, Ghosh S, Holloway J et al. Ptychnet: CNN based Fourier ptychography[C]. //2017 IEEE International Conference on Image Processing (ICIP), September 17-20, 2017, Beijing, China, 1712-1716(2017).

[9] Chen Y C, Wu X, Luo Z et al. Fourier ptychographic microscopy reconstruction based on deep learning[J]. Laser & Optoelectronics Progress, 57, 221106(2020).

[10] Zhang J Z, Xu T F, Shen Z Y et al. Fourier ptychographic microscopy reconstruction with multiscale deep residual network[J]. Optics Express, 27, 8612-8625(2019).

[11] Nguyen T, Xue Y J, Li Y Z et al. Deep learning approach for Fourier ptychography microscopy[J]. Optics Express, 26, 26470-26484(2018).

[12] Yang X M. Research on Fourier ptychographic imaging algorithm based on deep learning[D], 10-13(2019).

[13] Seifert J, Bouchet D, Loetgering L et al. Efficient and flexible approach to ptychography using an optimization framework based on automatic differentiation[J]. OSA Continuum, 4, 121-128(2021).

[14] Jiang S W, Guo K K, Liao J et al. Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow[J]. Biomedical Optics Express, 9, 3306-3319(2018).

[15] Thibos L N, Applegate R A, Schwiegerling J T et al. Standards for reporting the optical aberrations of eyes[J]. Journal of Refractive Surgery, 18, 652-660(2002).

[16] Kappeler A, Yoo S, Dai Q Q et al. Video super-resolution with convolutional neural networks[J]. IEEE Transactions on Computational Imaging, 2, 109-122(2016).

[17] Pham M, Rana A, Miao J W et al. Semi-implicit relaxed Douglas-Rachford algorithm (sDR) for ptychography[J]. Optics Express, 27, 31246-31260(2019).

[18] Dong S Y, Bian Z C, Shiradkar R et al. Sparsely sampled Fourier ptychography[J]. Optics Express, 22, 5455-5464(2014).

[19] Guizar-Sicairos M, Thurman S T, Fienup J R. Efficient subpixel image registration algorithms[J]. Optics Letters, 33, 156-158(2008).