[1] M. Martínez-Corral, B. Javidi. Fundamentals of 3D imaging and displays: a tutorial on integral imaging, light-field, and plenoptic systems**. Adv. Opt. Photon., 10, 512(2018)**.

[2] G. Lippmann. Epreuves reversibles, photographies integrales**. Comptes Rendus l’Académie des Sci., 444, 446(1908)**.

[3] R. Ng, M. Levoy, M. Brédif, G. Duval, M. Horowitz, P. Hanrahan**. Light field photography with a hand-held plenoptic camera(2005)**.

[4] M. Levoy, R. Ng, A. Adams, M. Footer, M. Horowitz. Light field microscopy**. ACM Trans. Graph., 25, 924(2006)**.

[5] M. Levoy, Z. Zhang, I. McDowall. Recording and controlling the 4D light field in a microscope using microlens arrays**. J. Microsc., 235, 144(2009)**.

[6] M. Broxton, L. Grosenick, S. Yang, N. Cohen, A. Andalman, K. Deisseroth, M. Levoy. Wave optics theory and 3-D deconvolution for the light field microscope**. Opt. Express, 21, 25418(2013)**.

[7] R. Prevedel, Y.-G. Yoon, M. Hoffmann, N. Pak, G. Wetzstein, S. Kato, T. Schrödel, R. Raskar, M. Zimmer, E. S. Boyden, A. Vaziri. Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy**. Nat. Methods, 11, 727(2014)**.

[8] H. Y. Liu, E. Jonas, L. Tian, J. Zhong, B. Recht, L. Waller. 3D imaging in volumetric scattering media using phase-space measurements**. Opt. Express, 23, 14461(2015)**.

[9] N. C. Pégard, H. Y. Liu, N. Antipa, M. Gerlock, H. Adesnik, L. Waller. Compressive light-field microscopy for 3D neural activity recording**. Optica, 3, 517(2016)**.

[10] T. Nöbauer, O. Skocek, A. J. Pernía-Andrade, L. Weilguny, F. M. Traub, M. I. Molodtsov, A. Vaziri. Video rate volumetric Ca2+ imaging across cortex using seeded iterative demixing (SID) microscopy**. Nat. Methods, 14, 811(2017)**.

[11] M. A. Taylor, T. Nöbauer, A. Pernia-Andrade, F. Schlumm, A. Vaziri. Brain-wide 3D light-field imaging of neuronal activity with speckle-enhanced resolution**. Optica, 5, 345(2018)**.

[12] Y. Chen, B. Xiong, Y. Xue, X. Jin, J. Greene, L. Tian. Design of a high-resolution light field miniscope for volumetric imaging in scattering tissue**. Biomed. Opt. Express, 11, 1662(2020)**.

[13] Y. Xue, I. Davison, D. Boas, L. Tian. Single-shot 3D wide-field fluorescence imaging with a computational miniature mesoscope**. Sci. Adv., 6, eabb7508(2020)**.

[14] Y. Zhang, Z. Lu, J. Wu, X. Lin, D. Jiang, Y. Cai, J. Xie, Y. Wang, T. Zhu, X. Ji, Q. Dai. Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy**. Nat. Commun., 12, 6391(2021)**.

[15] I. Moon, B. Javidi. Three-dimensional visualization of objects in scattering medium by use of computational integral imaging**. Opt. Express, 16, 13080(2008)**.

[16] J. Tian, Z. Murez, T. Cui, Z. Zhang, D. Kriegman, R. Ramamoorthi. Depth and image restoration from light field in a scattering medium**. IEEE Conference ICCV, 2420(2017)**.

[17] K. Yanny, N. Antipa, W. Liberti, S. Dehaeck, K. Monakhova, F. L. Liu, K. Shen, R. Ng, L. Waller. Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy**. Light Sci. Appl., 9, 171(2020)**.

[18] G. Barbastathis, A. Ozcan, G. Situ. On the use of deep learning for computational imaging**. Optica, 6, 921(2019)**.

[19] Y. Rivenson, Z. Gorocs, H. Gunaydin, Y. Zhang, H. Wang, A. Ozcan. Deep learning microscopy**. Optica, 4, 1437(2017)**.

[20] E. Nehme, L. E. Weiss, T. Michaeli, Y. Shechtman. Deep-STORM: super-resolution single-molecule microscopy by deep learning**. Optica, 5, 458(2018)**.

[21] A. Sinha, J. Lee, S. Li, G. Barbastathis. Lensless computational imaging through deep learning**. Optica, 4, 1117(2017)**.

[22] F. Wang, H. Wang, H. Wang, G. Li, G. Situ. Learning from simulation: an end-to-end deep-learning approach for computational ghost imaging**. Opt. Express, 27, 25560(2019)**.

[23] F. Wang, Y. Bian, H. Wang, M. Lyu, G. Pedrini, W. Osten, G. Barbastathis, G. Situ. Phase imaging with an untrained neural network**. Light Sci. Appl., 9, 77(2020)**.

[24] S. Yuan, Y. Hu, Q. Hao, S. Zhang. High-accuracy phase demodulation method compatible to closed fringes in a single-frame interferogram based on deep learning**. Opt. Express, 29, 2538(2021)**.

[25] Z. Wang, L. Zhu, H. Zhang, G. Li, C. Yi, Y. Li, Y. Yang, Y. Ding, M. Zhen, S. Gao, T. K. Hsiai, P. Fei. Real-time volumetric reconstruction of biological dynamics with light-field microscopy and deep learning**. Nat. Methods, 18, 551(2021)**.

[26] N. Wagner, F. Beuttenmueller, N. Norlin, J. Gierten, J. C. Boffi, J. Wittbrodt, M. Weigert, L. Hufnagel, R. Prevedel, A. Kreshuk. Deep learning-enhanced light-field imaging with continuous validation**. Nat. Methods, 18, 557(2021)**.

[27] S. Li, M. Deng, J. Lee, A. Sinha, G. Barbastathis. Imaging through glass diffusers using densely connected convolutional networks**. Optica, 5, 803(2018)**.

[28] Y. Li, Y. Xue, L. Tian. Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media**. Optica, 5, 1181(2018)**.

[29] M. Lyu, H. Wang, G. Li, S. Zheng, G. Situ. Learning-based lensless imaging through optically thick scattering media**. Adv. Photon., 1, 036002(2019)**.

[30] X. Lai, Q. Li, Z. Chen, X. Shao, J. Pu. Reconstructing images of two adjacent objects passing through scattering medium via deep learning**. Opt. Express, 29, 43280(2021)**.

[31] H. Li, C. Guo, D. Kim-Holzapfel, W. Li, Y. Altshuller, B. Schroeder, W. Liu, Y. Meng, J. B. French, K.-I. Takamaru, M. A. Frohman, S. Jia. Fast, volumetric live-cell imaging using high-resolution light-field microscopy**. Biomed. Opt. Express, 10, 29(2019)**.

[32] M. J. Bastiaans. The Wigner distribution function applied to optical signals and systems**. Opt. Commun., 25, 26(1978)**.

[33] J. Jönsson, E. Berrocal. Multi-scattering software: part I: online accelerated Monte Carlo simulation of light transport through scattering media**. Opt. Express, 28, 37612(2020)**.

[34] K. He, X. Zhang, S. Ren, J. Sun. Deep residual learning for image recognition**. IEEE Conference on Computer Vision and Pattern Recognition, 770(2016)**.

[35] O. Ronneberger, P. Fischer, T. Brox. U-net: convolutional networks for biomedical image segmentation**. International Conference on Medical Image Computing and Computer-Assisted Intervention, 234(2015)**.

[36] W. Wang, Z. Wang, Y. Wen, L. Song, X. Zhao, J. Yang. A method of 3D light field imaging through single layer of weak scattering media basd on deep learning**. Proc. SPIE, 11438, 114380Y(2020)**.

[37] .

[38] A. G. Asuero, A. Sayago, A. G. González. The correlation coefficient: an overview**. Crit. Rev. Anal. Chem., 36, 41(2006)**.

[39] W. Zhou, A. C. Bovik. Mean squared error: love it or leave it? A new look at Signal fidelity measures**. IEEE Signal Process. Mag., 26, 98(2009)**.