Citation: | Fan Y, Zheng CY, Shu YF et al. Aberration-corrected differential phase contrast microscopy with annular illuminations. Opto-Electron Sci x, 240037 (2025). doi: 10.29026/oes.2025.240037 |
[1] | Zernike F. Phase contrast. Z Tech Physik 16, 454 (1935). |
[2] | Evanko D, Heinrichs A, Rosenthal C. Milestones in light microscopy. Nat Cell Biol 11, 1165 (2009). doi: 10.1038/ncb1009-1165 |
[3] | Stephens DJ, Allan VJ. Light microscopy techniques for live cell imaging. Science 300, 82–86 (2003). doi: 10.1126/science.1082160 |
[4] | Qian JM, Cao Y, Bi Y et al. Structured illumination microscopy based on principal component analysis. eLight 3, 4 (2023). doi: 10.1186/s43593-022-00035-x |
[5] | Evanko D. Label-free microscopy. Nat Methods 7, 36 (2010). |
[6] | Fan Y, Li JJ, Lu LP et al. Smart computational light microscopes (SCLMs) of smart computational imaging laboratory (SCILab). PhotoniX 2, 19 (2021). doi: 10.1186/s43074-021-00040-2 |
[7] | Küppers M, Albrecht D, Kashkanova AD et al. Confocal interferometric scattering microscopy reveals 3D nanoscopic structure and dynamics in live cells. Nat Commun 14, 1962 (2023). doi: 10.1038/s41467-023-37497-7 |
[8] | Kemper B, Bauwens A, Vollmer A et al. Label-free quantitative cell division monitoring of endothelial cells by digital holographic microscopy. J Biomed Opt 15, 036009 (2010). |
[9] | Liu SQ, Yu FH, Hong R et al. Advances in phase-sensitive optical time-domain reflectometry. Opto-Electron Adv 5, 200078 (2022). doi: 10.29026/oea.2022.200078 |
[10] | Fienup JR. Phase retrieval algorithms: a comparison. Appl Opt 21, 2758–2769 (1982). doi: 10.1364/AO.21.002758 |
[11] | Popescu G. Quantitative Phase Imaging of Cells and Tissues (McGraw-Hill, New York, 2011). |
[12] | Park Y, Depeursinge C, Popescu G. Quantitative phase imaging in biomedicine. Nat Photon 12, 578–589 (2018). doi: 10.1038/s41566-018-0253-x |
[13] | Kim T, Zhou RJ, Goddard LL et al. Solving inverse scattering problems in biological samples by quantitative phase imaging. Laser Photon Rev 10, 13–39 (2016). doi: 10.1002/lpor.201400467 |
[14] | Huang ZZ, Memmolo P, Ferraro P et al. Dual-plane coupled phase retrieval for non-prior holographic imaging. PhotoniX 3, 3 (2022). doi: 10.1186/s43074-021-00046-w |
[15] | Gao P, Yao BL, Harder I et al. Phase-shifting Zernike phase contrast microscopy for quantitative phase measurement. Opt Lett 36, 4305–4307 (2011). doi: 10.1364/OL.36.004305 |
[16] | Hamilton DK, Sheppard CJP. Differential phase contrast in scanning optical microscopy. J Microsc 133, 27–39 (1984). doi: 10.1111/j.1365-2818.1984.tb00460.x |
[17] | Mehta SB, Sheppard CJR. Quantitative phase-gradient imaging at high resolution with asymmetric illumination-based differential phase contrast. Opt Lett 34, 1924–1926 (2009). doi: 10.1364/OL.34.001924 |
[18] | Bertero M, Boccacci P, De Mol C. Introduction to Inverse Problems in Imaging (CRC Press, Boca Raton, 2021). |
[19] | Tian L, Waller L. Quantitative differential phase contrast imaging in an led array microscope. Opt Express 23, 11394–11403 (2015). doi: 10.1364/OE.23.011394 |
[20] | Chen HH, Lin YZ, Luo Y. Isotropic differential phase contrast microscopy for quantitative phase bio-imaging. J Biophoton 11, e201700364 (2018). doi: 10.1002/jbio.201700364 |
[21] | Fan Y, Sun JS, Shu YF et al. Accurate quantitative phase imaging by differential phase contrast with partially coherent illumination: beyond weak object approximation. Photon Res 11, 442–455 (2023). doi: 10.1364/PRJ.476170 |
[22] | Hamilton DK, Sheppard CJR, Wilson T. Improved imaging of phase gradients in scanning optical microscopy. J Microsc 135, 275–286 (1984). doi: 10.1111/j.1365-2818.1984.tb02533.x |
[23] | Gao P, Yao BL, Min JW et al. Autofocusing of digital holographic microscopy based on off-axis illuminations. Opt Lett 37, 3630–3632 (2012). doi: 10.1364/OL.37.003630 |
[24] | Song PM, Jiang SW, Zhang H et al. Full-field Fourier ptychography (FFP): spatially varying pupil modeling and its application for rapid field-dependent aberration metrology. APL Photon 4, 050802 (2019). doi: 10.1063/1.5090552 |
[25] | Kam Z, Hanser B, Gustafsson MG et al. Computational adaptive optics for live three-dimensional biological imaging. Proc Natl Acad Sci USA 98, 3790–3795 (2001). doi: 10.1073/pnas.071275698 |
[26] | South FA, Liu YZ, Bower AJ et al. Wavefront measurement using computational adaptive optics. J Opt Soc Am A 35, 466–473 (2018). doi: 10.1364/JOSAA.35.000466 |
[27] | Zheng GA, Ou XZ, Horstmeyer R et al. Characterization of spatially varying aberrations for wide field-of-view microscopy. Opt Express 21, 15131–15143 (2013). doi: 10.1364/OE.21.015131 |
[28] | Horstmeyer R, Ou XZ, Chung J et al. Overlapped Fourier coding for optical aberration removal. Opt Express 22, 24062–24080 (2014). doi: 10.1364/OE.22.024062 |
[29] | Bostan E, Heckel R, Chen M et al. Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network. Optica 7, 559–562 (2020). doi: 10.1364/OPTICA.389314 |
[30] | Goda K, Popescu G, Tsia KK et al. Computational optical imaging goes viral. APL Photon 5, 030401 (2020). doi: 10.1063/5.0004471 |
[31] | Li ZS, Chen YY, Sun JS et al. High bandwidth-utilization digital holographic reconstruction using an untrained neural network. Appl Sci 12, 10656 (2022). doi: 10.3390/app122010656 |
[32] | Zheng GA, Horstmeyer R, Yang CH. Wide-field, high-resolution Fourier ptychographic microscopy. Nat Photon 7, 739–745 (2013). doi: 10.1038/nphoton.2013.187 |
[33] | Ou XZ, Zheng GA, Yang CH. Embedded pupil function recovery for Fourier ptychographic microscopy. Opt Express 22, 4960–4972 (2014). doi: 10.1364/OE.22.004960 |
[34] | Shu YF, Sun JS, Lyu JM et al. Adaptive optical quantitative phase imaging based on annular illumination Fourier ptychographic microscopy. PhotoniX 3, 24 (2022). doi: 10.1186/s43074-022-00071-3 |
[35] | Lu LP, Li JJ, Shu YF et al. Hybrid brightfield and darkfield transport of intensity approach for high-throughput quantitative phase microscopy. Adv Photon 4, 056002 (2022). |
[36] | Chen M, Phillips ZF, Waller L. Quantitative differential phase contrast (DPC) microscopy with computational aberration correction. Opt Express 26, 32888–32899 (2018). doi: 10.1364/OE.26.032888 |
[37] | Sun JS, Zuo C, Zhang JJ et al. High-speed Fourier ptychographic microscopy based on programmable annular illuminations. Sci Rep 8, 7669 (2018). doi: 10.1038/s41598-018-25797-8 |
[38] | Fan Y, Sun JS, Chen Q et al. Optimal illumination scheme for isotropic quantitative differential phase contrast microscopy. Photon Res 7, 890–904 (2019). doi: 10.1364/PRJ.7.000890 |
[39] | Cao RZ, Shen C, Yang CH. High-resolution, large field-of-view label-free imaging via aberration-corrected, closed-form complex field reconstruction. Nat Commun 15, 4713 (2024). doi: 10.1038/s41467-024-49126-y |
[40] | Fan Y, Sun JS, Chen Q et al. Single-shot isotropic quantitative phase microscopy based on color-multiplexed differential phase contrast. APL Photon 4, 121301 (2019). doi: 10.1063/1.5124535 |
[41] | Sasian J. Introduction to Aberrations in Optical Imaging Systems (Cambridge University Press, Cambridge, 2012). |
[42] | Booth MJ. Adaptive optics in microscopy. Philos Trans A Math Phys Eng Sci 365, 2829–2843 (2007). |
[43] | Zernike F, Nijboer B. Theorie de la diffraction des aberrations. La Theorie des Images Optiques 227–235 (1949). |
[44] | Wyant JC, Creath K. Basic wavefront aberration theory for optical metrology. Appl Opt Opt Eng 11, 28–39 (1992). |
[45] | Lakshminarayanan V, Fleck A. Zernike polynomials: a guide. J Mod Opt 58, 545–561 (2011). doi: 10.1080/09500340.2011.554896 |
[46] | Zhou S, Li JJ, Sun JS et al. Transport-of-intensity Fourier ptychographic diffraction tomography: defying the matched illumination condition. Optica 9, 1362–1373 (2022). doi: 10.1364/OPTICA.476474 |
[47] | Lenzen F, Scherzer O. Tikhonov type regularization methods: history and recent progress. In Proceedings of European Congress on Computational Methods in Applied Sciences and Engineering 1–21 (ECCOMAS, 2004). |
[48] | Sargis RM, Johnson DN, Choudhury RA et al. Environmental endocrine disruptors promote adipogenesis in the 3T3-L1 cell line through glucocorticoid receptor activation. Obesity 18, 1283–1288 (2010). doi: 10.1038/oby.2009.419 |
[49] | Chen LW, Zhou Y, Li Y et al. Microsphere enhanced optical imaging and patterning: from physics to applications. Appl Phys Rev 6, 021304 (2019). doi: 10.1063/1.5082215 |
[50] | Boneberg J, Leiderer P. Optical near-field imaging and nanostructuring by means of laser ablation. Opto-Electron Sci 1, 210003 (2022). doi: 10.29026/oes.2022.210003 |
[51] | Chu CY, Liu ZT, Chen ML et al. Wide-spectrum optical synthetic aperture imaging via spatial intensity interferometry. Opto-Electron Adv 6, 230017 (2023). doi: 10.29026/oea.2023.230017 |
Supplementary information for Aberration-corrected differential phase contrast microscopy with annular illuminations |
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Supplementary Movie S1 |
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Supplementary Movie S2 |
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PTF with ideal pupil and complex pupil under different illuminations. (a) Ideal pupil without aberration and complex pupil with aberration for simulation. (b) Comparison of PTFs with ideal pupil and complex pupil under single point illumination at different angles. (c) Comparison of PTFs with ideal pupil and complex pupil under half-circular and half-annular (NAill = NAobj) illuminations.
The flowchart of ACDPC iterative reconstruction joint optimization algorithm. (a) ACDPC imaging system based on half-annular illumination. (b) Three annular illumination patterns and their intensity images. (c) The flowchart of ACDPC method.
Simulation of DPC and ACDPC reconstructed phases with different aberrations. (a) Reconstructed phases of DPC and ACDPC with different degrees of defocus aberration. (b) Original and retrieved pupils and corresponding reconstructed phase details in defocus aberration. (c) Average number of convergence and phase RMSE data for ten aberrations. (d) Reconstructed phases of DPC and ACDPC with multi-order aberration. (e) Ground-truth pupil and corresponding PTF and ACDPC retrieved pupil and PTF. (f) Quantitative profile comparison of reconstructed phase. (g) Zernike coefficients for ground-truth and retrieved aberrations.
Experimental results of USAF resolution targets. (a) ACDPC experimental system based on commercial inverted microscope with annular illumination. (b) The actual acquired intensity image and the zoom-in image of region of interest (ROI 1). (c) Full-field-of-view reconstructed phase and zoom-in images (ROI 1) of DPC and ACDPC at −10 μm defocus, and quantitative phase profile. (d) Reconstructed phase and zoom-in images (ROI 2) of DPC and ACDPC at +10 μm defocus. (e) Reconstructed phase of DPC and ACDPC at +20 μm defocus and the retrieved aberration coefficient.
Experimental results of DPC and ACDPC on NIH 3T3 cells. (a) Experimental result of DPC and ACDPC experiments on NIH 3T3 cell samples under fine focusing conditions. (b) Magnified images of two ROIs (ROI 1, ROI 2) in (a). (c) Zernike coefficient of retrieved aberration in (b). (d) Experimental result of DPC and ACDPC experiments on NIH 3T3 cell samples under coarse focusing conditions. (e) Magnified image of the ROI (ROI 1) in (a) and further magnification of its ROI (ROI 2). (f) Zernike coefficient of retrieved aberration in (e).