Phase aberration compensation via a self-supervised sparse constraint network in digital holographic microscopy

Park, 2018, Quantitative phase imaging in biomedicine, Nat Photonics, 12, 578, 10.1038/s41566-018-0253-x Shu, 2022, Adaptive optical quantitative phase imaging based on annular illumination Fourier ptychographic microscopy, PhotoniX, 3, 1 Zheng, 2017, Refractive index measurement of suspended cells using opposed-view digital holographic microscopy, Appl Opt, 56, 9000, 10.1364/AO.56.009000 Di, 2016, Quantitative measurement of thermal lensing in diode-side-pumped Nd: YAG laser by use of digital holographic interferometry, Opt Express, 24, 28185, 10.1364/OE.24.028185 Zhuo, 2021, Partially coherent illumination based point-diffraction digital holographic microscopy study dynamics of live cells, Front Phys, 9, 10.3389/fphy.2021.796935 Sánchez-Ortiga, 2011, Digital holographic microscopy with pure-optical spherical phase compensation, J Opt Soc Am A, 28, 1410, 10.1364/JOSAA.28.001410 Doblas, 2014, Accurate single-shot quantitative phase imaging of biological specimens with telecentric digital holographic microscopy, J Biomed Opt, 19, 10.1117/1.JBO.19.4.046022 Doblas, 2015, Physical compensation of phase curvature in digital holographic microscopy by use of programmable liquid lens, Appl Opt, 54, 5229, 10.1364/AO.54.005229 Deng, 2017, Simple and flexible phase compensation for digital holographic microscopy with electrically tunable lens, Appl Opt, 56, 6007, 10.1364/AO.56.006007 Sirico, 2022, Compensation of aberrations in holographic microscopes: main strategies and applications, Appl Phys B Lasers, 128, 1, 10.1007/s00340-022-07798-8 Ferraro, 2003, Compensation of the inherent wave front curvature in digital holographic coherent microscopy for quantitative phase-contrast imaging, Appl Opt, 42, 1938, 10.1364/AO.42.001938 Colomb, 2006, Total aberrations compensation in digital holographic microscopy with a reference conjugated hologram, Opt Express, 14, 4300, 10.1364/OE.14.004300 Eder, 2022, Label-free digital holographic microscopy for in vitro cytotoxic effect quantification of organic nanoparticles, Cells, 11, 644, 10.3390/cells11040644 Ferraro, 2006, Quantitative phase-contrast microscopy by a lateral shear approach to digital holographic image reconstruction, Opt Lett, 31, 1405, 10.1364/OL.31.001405 Coppola, 2010, Digital self-referencing quantitative phase microscopy by wavefront folding in holographic image reconstruction, Opt Lett, 35, 3390, 10.1364/OL.35.003390 Deng, 2017, Off-axis tilt compensation in common-path digital holographic microscopy based on hologram rotation, Opt Lett, 42, 5282, 10.1364/OL.42.005282 Deng, 2019, Phase aberration compensation for digital holographic microscopy based on geometrical transformations, J Opt, 21, 10.1088/2040-8986/ab2528 Deng, 2020, Fast aberrations compensation in digital holographic microscopy based on phase transformation, IEEE Photonics J, 12, 1 Cui, 2011, Phase aberration compensation by spectrum centering in digital holographic microscopy, Opt Commun, 284, 4152, 10.1016/j.optcom.2011.05.013 Min, 2017, Simple and fast spectral domain algorithm for quantitative phase imaging of living cells with digital holographic microscopy, Opt Lett, 42, 227, 10.1364/OL.42.000227 Liu, 2014, Automatic compensation of phase aberrations in digital holographic microscopy for living cells investigation by using spectral energy analysis, Opt Laser Technol, 57, 169, 10.1016/j.optlastec.2013.10.014 Di, 2009, Phase aberration compensation of digital holographic microscopy based on least squares surface fitting, Opt Commun, 282, 3873, 10.1016/j.optcom.2009.06.049 Colomb, 2006, Automatic procedure for aberration compensation in digital holographic microscopy and applications to specimen shape compensation, Appl Opt, 45, 851, 10.1364/AO.45.000851 Lai, 2019, Digital holographic phase imaging with aberrations totally compensated, Biomed Opt Express, 10, 283, 10.1364/BOE.10.000283 Colomb, 2006, Numerical parametric lens for shifting, magnification and complete aberration compensation in digital holographic microscopy, J Opt Soc Am A, 23, 3177, 10.1364/JOSAA.23.003177 Miccio, 2007, Direct full compensation of the aberrations in quantitative phase microscopy of thin objects by a single digital hologram, Appl Phys Lett, 90, 10.1063/1.2432287 Liu, 2018, Automatic phase aberration compensation for digital holographic microscopy based on phase variation minimization, Opt Lett, 43, 1870, 10.1364/OL.43.001870 Liu, 2020, Automatic and robust phase aberration compensation for digital holographic microscopy based on minimizing total standard deviation, Opt Lasers Eng, 134, 10.1016/j.optlaseng.2020.106276 Ren, 2019, Automatic compensation of phase aberrations in digital holographic microscopy based on sparse optimization, APL Photonics, 4, 10.1063/1.5115079 Ma, 2022, Compensation enhancement by the patch-based inpainting in off-axis digital holographic microscopy, Measurement, 198, 10.1016/j.measurement.2022.111398 Liu, 2019, Phase aberration compensation for digital holographic microscopy based on double fitting and background segmentation, Opt Lasers Eng, 115, 238, 10.1016/j.optlaseng.2018.12.001 Zuo, 2013, Phase aberration compensation in digital holographic microscopy based on principal component analysis, Opt Lett, 38, 1724, 10.1364/OL.38.001724 Zhang, 2019, Multi-step phase aberration compensation method based on optimal principal component analysis and subsampling for digital holographic microscopy, Appl Opt, 58, 389, 10.1364/AO.58.000389 Lai, 2021, Aberration-free digital holographic phase imaging using the derivative-based principal component analysis, J Biomed Opt, 26, 10.1117/1.JBO.26.4.046501 Ma, 2021, Phase-aberration compensation via deep learning in digital holographic microscopy, Meas Sci Technol, 32, 10.1088/1361-6501/ac0216 Nguyen, 2017, Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection, Opt Express, 25, 15043, 10.1364/OE.25.015043 Tang, 2021, RestoreNet: a deep learning framework for image restoration in optical synthetic aperture imaging system, Opt Lasers Eng, 139, 10.1016/j.optlaseng.2020.106463 Zuo, 2022, Deep learning in optical metrology: a review, Light Sci Appl, 11, 1 Wang, 2021, Deep learning wavefront sensing and aberration correction in atmospheric turbulence, PhotoniX, 2, 1, 10.1186/s43074-021-00030-4 Chang, 2020, Calibration-free quantitative phase imaging using data-driven aberration modeling, Opt Express, 28, 34835, 10.1364/OE.412009 Xiao, 2021, Sensing morphogenesis of bone cells under microfluidic shear stress by holographic microscopy and automatic aberration compensation with deep learning, Lab Chip, 21, 1385, 10.1039/D0LC01113D Ulyanov, 2018, Deep image prior, 9446 Li, 2022, High bandwidth-utilization digital holographic reconstruction using an untrained neural network, Appl Sci, 12, 10656, 10.3390/app122010656 Tang, 2022, Coherent noise suppression of single-shot digital holographic phase via an untrained self-supervised network, Front Photonics, 3, 10.3389/fphot.2022.907847 Bostan, 2020, Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network, Optica, 7, 559, 10.1364/OPTICA.389314 Wang, 2020, Phase imaging with an untrained neural network, Light Sci Appl, 9, 1, 10.1038/s41377-020-0302-3