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

[2] 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).

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

[4] Rodenburg J M. Ptychography and related diffractive imaging methods[J]. Advances in Imaging and Electron Physics, 150, 87-184(2008).

[5] Faulkner H M L, Rodenburg J M. Movable aperture lensless transmission microscopy: a novel phase retrieval algorithm[J]. Physical Review Letters, 93, 023903(2004).

[6] Hillman T R, Gutzler T, Alexandrov S A et al. High-resolution, wide-field object reconstruction with synthetic aperture Fourier holographic optical microscopy[J]. Optics Express, 17, 7873-7892(2009).

[7] Di J L, Zhao J L, Jiang H Z et al. High resolution digital holographic microscopy with a wide field of view based on a synthetic aperture technique and use of linear CCD scanning[J]. Applied Optics, 47, 5654-5659(2008).

[8] Meinel A B. Aperture synthesis using independent telescopes[J]. Applied Optics, 9, 2501-2504(1970).

[9] Fienup J R. Phase retrieval algorithms: a comparison[J]. Applied Optics, 21, 2758-2769(1982).

[10] Elser V. Phase retrieval by iterated projections[J]. Journal of the Optical Society of America A, 20, 40-55(2003).

[11] Wang F, Wang H, Bian Y M et al. Applications of deep learning in computational imaging[J]. Acta Optica Sinica, 40, 0111002(2020).

[12] Chen Y C, Luo Z, Wu X et al. U-Net CNN based fourier ptychography[EB/OL]. https://arxiv.org/abs/2003.07460

[13] Bian L H, Suo J L, Dai Q H et al. Fourier ptychography for high space-bandwidth product microscopy[J]. Advanced Optical Technologies, 6, 449-457(2017).

[14] Zhang J H, Zhang J Z, Li J N et al. Aberration correction of Fourier ptychographic microscopy based on ptychographical iterative engine[J]. Acta Optica Sinica, 41, 1011001(2021).

[15] 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).

[16] Zheng G[M]. Fourier ptychographic imaging a MATLAB tutorial(2016).

[17] Sun J S, Zhang Y Z, Chen Q et al. Fourier ptychographic microscopy: theory, advances, and applications[J]. Acta Optica Sinica, 36, 1011005(2016).

[18] Zheng G A, Shen C, Jiang S W et al. Concept, implementations and applications of Fourier ptychography[J]. Nature Reviews Physics, 3, 207-223(2021).

[19] Wu J J, Yu B, Zhang S W et al. Super-resolution fluorescence blinking imaging using modified Fourier ptychography[J]. Optics Express, 26, 2740-2748(2018).

[20] Ledig C, Theis L, Huszár F et al. Photo-realistic single image super-resolution using a generative adversarial network[C], 105-114(2017).

[21] Zhu Y, Newsam S. DenseNet for dense flow[C], 790-794(2017).

[22] Iandola F, Moskewicz M, Karayev S et al. DenseNet: implementing efficient ConvNet descriptor pyramids[EB/OL]. https://arxiv.org/abs/1404.1869

[23] Pathak D, Krähenbühl P, Donahue J et al. Context encoders: feature learning by inpainting[C], 2536-2544(2016).

[24] Bevilacqua M, Roumy A, Guillemot C et al. Low-complexity single-image super-res-olution based on nonnegative neighbor embedding[EB/OL]. https://web.archive.org/web/20190307134645id_/http://pdfs.semanticscholar.org/e14b/8db1f680134ba52e54dea509ab9c0efa3bd5.pdf