[1] [1] Schmidhuber J. Deep learning in neural networks: An overview［J］. Neural Networks,2015,61:85-117.

[2] [2] Rahimzadeh M, Attar A. Detecting and counting pistachios based on deep learning［J］. Iran Journal of Computer Science,2021(4):23-40.

[3] [3] Alzubaidil L, Zhang J, Hunaidi A J, et al. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions［J］. Journal of Big Data,2021,8(1):53-60.

[4] [4] Zhang G, Tian G, Shen Z, et al. Fast phase retrieval in off-axis digital holographic microscopy through deep learning［J］. Optics Express,2018,26(15):19388-19400.

[5] [5] Huang L, Liu T, Yang X, et al. Holographic image reconstruction with phase recovery and auto focusing using recurrent neural networks［J］. ASC Photonics,2021,8(6):1763-1774.

[7] [7] Huang L, Yan L, Chen B. Phase restoration of digital holographic microscopy with an adaptive reliability mask for phase unwrapping in microstructure testing［J］. Optics and Lasers in Engineering,2021,138:106416.

[9] [9] Loic D, Dirk L, Eric T, et al. Inline hologram reconstruction with sparsity constraints［J］. Optics Letters,2009,34(22):3475-7.

[10] [10] Marim M M, Angelini E, Olivo-Marin J C, et al. Off-axis compressed holographic microscopy in low-light conditions［J］. Optics Letters,2011,36(1):79-81.

[11] [11] Aurelien, B, Nicolas, et al. A practical inverse-problem approach to digital holographic reconstruction［J］. Optics Express,2013,21(3):3417-3500.

[12] [12] Fournier C, Jolivet F, Denis L, et al. Pixel super-resolution in digital holography by regularized reconstruction［J］. Applied Optics,2016.56(1):69-85.

[13] [13] Saowapak, Sotthivirat, Jeffrey, et al. Penalized-likelihood image reconstruction for digital holography［J］. Journal of the Optical Society of America A,2004,21(5):737-750.

[14] [14] Rivenson Y, Gorocs Z, Gunaydin H, et al. Deep Learning Microscopy［J］. Optica,2017,4(11):1437-1443.

[15] [15] Wang H D, Yair, et al. Deep learning enables cross-modality super-resolution in fluorescence microscopy［J］. Nature Methods,2018,16(1):103-110.

[16] [16] Ouyang W, Aristov A, Lelek M, et al. Deep learning massively accelerates super-resolution localization microscopy［J］. Nature Biotechnology,2018,36(5):460-468.

[17] [17] Nehme E, Weiss L E, Michaeli T, et al. Deep-STORM: super-resolution single-molecule microscopy by deep learning［J］. Optica,2018,5(4):458-463.

[18] [18] Liu T R, Kevin, et al. Deep learning-based super-resolution in coherent imaging systems［J］. Scientific Reports,2019.9(1):1-13.

[19] [19] Ren Z, So K H, Lam E Y. Fringe pattern improvement and super-resolution using deep learning in digital holography［J］. IEEE Transactions on Industrial Informatics,2019,15(11):6179-6186.