Abstract
Fourier ptychographic microscopy (FPM) incorporates the phase recovery and synthetic aperture to achieve large field of view, high resolution, and large spatial bandwidth product with quantitative phase imaging simultaneously without precise mechanical scanning. However, in the conventional imaging process, the reconstructed object resolution is degraded and the reconstruction quality is not high because of the slow convergence of the iterative algorithm and the tendency to fall into local minima. To address the above problems, this paper proposes an iterative FPM algorithm that fuses phase perturbation factor and gradient descent in the spatial-frequency domain and embeds an aberration correction method in the reconstruction process. The algorithm is embedded into the software platform for simulated and real experiments. The experimental results show that the iteration error of the proposed method is reduced by 1.5 times compared with that of the traditional iterative method per unit number of iterations, and the convergence speed is significantly improved while the accuracy and resolution of the reconstructed objects are guaranteed.
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Natural Science Foundation of Higher Education Institutions of Anhui Province (Nos. KJ2020ZD02, KJ2019ZD04, 2022AH050089).
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Ren, S., Cheng, H., Sun, S. et al. A hybrid iterative Fourier ptychographic microscopy algorithm based on fusion of random phase perturbation and gradient descent strategy. J Opt 53, 1336–1344 (2024). https://doi.org/10.1007/s12596-023-01267-x
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DOI: https://doi.org/10.1007/s12596-023-01267-x