• Laser & Optoelectronics Progress
  • Vol. 62, Issue 2, 0237015 (2025)
Haoyang Wu1,*, Xiaojun Zhao2, and Xiaoquan Yang2
Author Affiliations
  • 1School of Biomedical Engineering, Hainan University, Haikou 570200, Hainan , China
  • 2Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei , China
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    DOI: 10.3788/LOP241256 Cite this Article Set citation alerts
    Haoyang Wu, Xiaojun Zhao, Xiaoquan Yang. Large Field-of-View Light-Sheet Image Reconstruction Based on Model-Driven Deconvolutional Network[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0237015 Copy Citation Text show less
    References

    [1] Siedentopf H, Zsigmondy R. Uber Sichtbarmachung und Größenbestimmung ultramikoskopischer Teilchen, mit besonderer Anwendung auf Goldrubingläser[J]. Annalen Der Physik, 315, 1-39(1902).

    [2] Power R M, Huisken J. A guide to light-sheet fluorescence microscopy for multiscale imaging[J]. Nature Methods, 14, 360-373(2017).

    [3] Stelzer E H K, Strobl F, Chang B J et al. Light sheet fluorescence microscopy[J]. Nature Reviews Methods Primers, 1, 73(2021).

    [4] Li H D, Zhang H X, Song X M et al. Three-dimensional light-sheet microscopy imaging system with liquid zoom lens and galvanometer mirror[J]. Acta Optica Sinica, 43, 0211001(2023).

    [5] Fahrbach F O, Rohrbach A. Propagation stability of self-reconstructing Bessel beams enables contrast-enhanced imaging in thick media[J]. Nature Communications, 3, 632(2012).

    [6] Planchon T A, Gao L, Milkie D E et al. Rapid three-dimensional isotropic imaging of living cells using Bessel beam plane illumination[J]. Nature Methods, 8, 417-423(2011).

    [7] Vettenburg T, Dalgarno H I C, Nylk J et al. Light-sheet microscopy using an Airy beam[J]. Nature Methods, 11, 541-544(2014).

    [8] Keller P J, Schmidt A D, Wittbrodt J et al. Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy[J]. Science, 322, 1065-1069(2008).

    [9] Chakraborty T, Driscoll M K, Jeffery E et al. Light-sheet microscopy of cleared tissues with isotropic, subcellular resolution[J]. Nature Methods, 16, 1109-1113(2019).

    [10] Dean K M, Roudot P, Welf E S et al. Deconvolution-free subcellular imaging with axially swept light sheet microscopy[J]. Biophysical Journal, 108, 2807-2815(2015).

    [11] Kim B, Na M, Park S et al. Open-top axially swept light-sheet microscopy[J]. Biomedical Optics Express, 12, 2328-2338(2021).

    [12] Dean K M, Chakraborty T, Daetwyler S et al. Isotropic imaging across spatial scales with axially swept light-sheet microscopy[J]. Nature Protocols, 17, 2025-2053(2022).

    [13] Bertero M, Boccacci P, Desiderà G et al. Image deblurring with Poisson data: from cells to galaxies[J]. Inverse Problems, 25, 123006(2009).

    [14] Richardson W H. Bayesian-based iterative method of image restoration[J]. Journal of the Optical Society of America, 62, 55-59(1972).

    [15] Lucy L B. An iterative technique for the rectification of observed distributions[J]. The Astronomical Journal, 79, 745(1974).

    [16] Zeng G L, Gullberg G T. Unmatched projector/backprojector pairs in an iterative reconstruction algorithm[J]. IEEE Transactions on Medical Imaging, 19, 548-555(2000).

    [17] Shen S Y, Li J, Gu M T et al. Deep learning-based three-dimensional spatial distribution reconstruction for light field micro-particle image velocimetry with convolutional neural network[J]. Acta Optica Sinica, 43, 2115002(2023).

    [18] Dai H, Yang Y L, Yue X et al. Denoising method of retinal OCT images based on modularized denoising autoencoder[J]. Acta Optica Sinica, 43, 0110001(2023).

    [19] Nielsen I E, Dera D, Rasool G et al. Robust Explainability: a tutorial on gradient-based attribution methods for deep neural networks[J]. IEEE Signal Processing Magazine, 39, 73-84(2022).

    [20] Dong J X, Roth S, Schiele B. Deep Wiener deconvolution: wiener meets deep learning for image deblurring[EB/OL]. http://arxiv.org/abs/2103.09962v1

    [21] Zhao X J, Liu G C, Jin R et al. Partially interpretable image deconvolution framework based on the Richardson-Lucy model[J]. Optics Letters, 48, 940-943(2023).

    [22] Zhang Y M[M]. Applied optics(2015).

    [23] Dempster A P, Laird N M, Rubin D B. Maximum likelihood from incomplete data via the EM algorithm[J]. Journal of the Royal Statistical Society Series B: Statistical Methodology, 39, 1-22(1977).

    [24] Guo M, Li Y, Su Y J et al. Rapid image deconvolution and multiview fusion for optical microscopy[J]. Nature Biotechnology, 38, 1337-1346(2020).

    [25] Liu G C, Jiang T, Li X N et al. Boosting the performance of light-sheet microscopy via synchronous detection from the illumination and detection light path[J]. Optica, 10, 1619-1632(2023).

    [26] He K M, Zhang X Y, Ren S Q et al. Delving deep into rectifiers: surpassing human-level performance on ImageNet classification[C], 1026-1034(2015).

    Haoyang Wu, Xiaojun Zhao, Xiaoquan Yang. Large Field-of-View Light-Sheet Image Reconstruction Based on Model-Driven Deconvolutional Network[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0237015
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