[1] J. Swoger, M. Martınez-Corral, J. Huisken, E. H. K. Stelzer. Optical scanning holography as a technique for high-resolution three-dimensional biological microscopy. J. Opt. Soc. Am. A, 19, 1910(2002).

[2] B. W. Schilling, G. C. Templeton. Three-dimensional remote sensing by optical scanning holography. Appl. Opt., 40, 5474(2001).

[3] T.-C. Poon, T. Kim, K. Doh. Optical scanning cryptography for secure wireless transmission. Appl. Opt., 42, 6496(2003).

[4] H. Di, K. Zheng, X. Zhang, E. Y. Lam, T. Kim, Y. S. Kim, T.-C. Poon, C. Zhou. Multiple-image encryption by compressive holography. Appl. Opt., 51, 1000(2012).

[5] Z. Ren, N. Chen, E. Y. Lam. Extended focused imaging and depth map reconstruction in optical scanning holography. Appl. Opt., 55, 1040(2016).

[6] Z. Ren, N. Chen, E. Y. Lam. Automatic focusing for multisectional objects in digital holography using the structure tensor. Opt. Lett., 42, 1720(2017).

[7] H. Ou, Y. Wu, E. Y. Lam, B.-Z. Wang. New autofocus and reconstruction method based on a connected domain. Opt. Lett., 43, 2201(2018).

[8] H. Ou, Y. Wu, E. Y. Lam, B.-Z. Wang. Axial localization using time reversal multiple signal classification in optical scanning holography. Opt. Express, 26, 3756(2018).

[9] J. Ke, T.-C. Poon, E. Y. Lam. Depth resolution enhancement in optical scanning holography with a dual-wavelength laser source. Appl. Opt., 50, H285(2011).

[10] H. Ou, T.-C. Poon, K. K. Y. Wong, E. Y. Lam. Depth resolution enhancement in double-detection optical scanning holography. Appl. Opt., 52, 3079(2013).

[11] H. Ou, T.-C. Poon, K. K. Y. Wong, E. Y. Lam. Enhanced depth resolution in optical scanning holography using a configurable pupil. Photonics Res., 2, 64(2014).

[12] E. Y. Lam, X. Zhang, H. Vo, T.-C. Poon, G. Indebetouw. Three-dimensional microscopy and sectional image reconstruction using optical scanning holography. Appl. Opt., 48, H113(2009).

[13] X. Zhang, E. Y. Lam, T.-C. Poon. Reconstruction of sectional images in holography using inverse imaging. Opt. Express, 16, 17215(2008).

[14] T. Kim. Optical sectioning by optical scanning holography and a Wiener filter. Appl. Opt., 45, 872(2006).

[15] A. C. S. Chan, K. K. Tsia, E. Y. Lam. Subsampled scanning holographic imaging (SuSHI) for fast, non-adaptive recording of three-dimensional objects. Optica, 3, 911(2016).

[16] Z. Xin, K. Dobson, Y. Shinoda, T.-C. Poon. Sectional image reconstruction in optical scanning holography using a random-phase pupil. Opt. Lett., 35, 2934(2010).

[17] H. Ou, H. Pan, E. Y. Lam, B.-Z. Wang. Defocus noise suppression with combined frame difference and connected component methods in optical scanning holography. Opt. lett., 40, 4146(2015).

[18] L. Jin-xi, Z. Ding-fu, Y. Sheng, Z. Yuan-yuan, Z. Luo-zhi, H. Dong-ming, Z. Xin. Modified image fusion technique to remove defocus noise in optical scanning holography. Opt. Commun., 407, 234(2018).

[19] T. Young, D. Hazarika, S. Poria, E. Cambria. Recent trends in deep learning based natural language processing. IEEE Comput. Intell. Mag., 13, 55(2018).

[20] A. Voulodimos, N. Doulamis, A. Doulamis, E. Protopapadakis. Deep learning for computer vision: a brief review. Comput. Intell. Neurosci., 2, 13(2018).

[21] S. Ghosal, D. Blystone, A. K. Singh, B. Ganapathysubramanian, A. Singh, S. Sarkar. An explainable deep machine vision framework for plant stress phenotyping. Proc. Natl. Acad. Sci. U.S.A., 115, 4613(2018).

[22] T. Zeng, Y. Zhu, E. Y. Lam. Deep learning for digital holography: a review. Opt. Express, 29, 40572(2021).

[23] Z. Ren, Z. Xu, E. Y. Lam. Learning-based nonparametric autofocusing for digital holography. Optica, 5, 337(2018).

[24] T. Pitkäaho, A. Manninen, T. J. Naughton. Focus prediction in digital holographic microscopy using deep convolutional neural networks. Appl. Opt., 58, A202(2019).

[25] Y. Rivenson, Y. Zhang, H. Günaydin, D. Teng, A. Ozcan. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light Sci. Appl., 7, 17141(2017).

[26] T. Nguyen, V. Bui, V. Lam, C. B. Raub, L. C. Chang, G. Nehmetallah. Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection. Opt. Express, 25, 15043(2017).

[27] S.-J. Kim, C. Wang, B. Zhao, H. Im, J. Min, H. J. Choi, J. Tadros, N. R. Choi, C. M. Castro, R. Weissleder, H. Lee, K. Lee. Deep transfer learning-based hologram classification for molecular diagnostics. Sci. Rep., 8, 17003(2018).

[28] T.-C. Poon. Optical Scanning Holography with MATLAB(2017).

[29] K. Simonyan, A. Zisserman. Very deep convolutional networks for large-scale image recognition(2015).

[30] O. Ronneberger, P. Fischer, T. Brox. U-net: Convolutional networks for biomedical image segmentation(2015).

[31] G. Zhang, T. Guan, Z. Shen, X. Wang, T. Hu, D. Wang, Y. He, N. Xie. Fast phase retrieval in off-axis digital holographic microscopy through deep learning. Opt. Express, 26, 19388(2018).

[32] D. P. Kingma, J. Ba. Adam: A method for stochastic optimization(2014).

[33] N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, R. Salakhutdinov. Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res., 15, 1929(2014).

[34] Y. Fisher. Fractal Image Compression(1995).

[35] Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli. Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process., 13, 600(2004).