Space-based correction method for LED array misalignment in Fourier ptychographic microscopy

Zhu, Youqiang; Sun, Minglu; Wu, Pei‐Lin; Mu, Quanquan; Li, Xuan; Li, Dayu; Wang, Bin

doi:10.1016/j.optcom.2022.128163

Cited by 9 publications

(4 citation statements)

References 39 publications

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“…Refractive indices of biological samples can be reflected by phase information. Compared to the image amplitude, the influence of the error on the phase information is generally greater 26 …”

Section: Experiments and Resultsmentioning

confidence: 99%

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Fast and robust Fourier ptychographic microscopy with position misalignment correction

Luo,

Wu,

Chen

et al. 2023

J. Biomed. Opt.

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Fourier ptychographic microscopy (FPM) is a new, developing computational imaging technology. It can realize the quantitative phase imaging of a wide field of view and high-resolution (HR) simultaneously by means of multi-angle illumination via a light emitting diode (LED) array, combined with a phase recovery algorithm and the synthetic aperture principle. However, in the FPM reconstruction process, LED position misalignment affects the quality of the reconstructed image, and the reconstruction efficiency of the existing LED position correction algorithms needs to be improved.Aim: This study aims to improve the FPM correction method based on simulated annealing (SA) and proposes a position misalignment correction method (AA-C algorithm) using an improved phase recovery strategy.Approach: The spectrum function update strategy was optimized by adding an adaptive control factor, and the reconstruction efficiency of the algorithm was improved. Results:The experimental results show that the proposed method is effective and robust for position misalignment correction of LED arrays in FPM, and the convergence speed can be improved by 21.2% and 54.9% compared with SC-FPM and PC-FPM, respectively.Conclusions: These results can reduce the requirement of the FPM system for LED array accuracy and improve robustness.

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Section: Experiments and Resultsmentioning

confidence: 99%

“…Compared to the image amplitude, the influence of the error on the phase information is generally greater. 26 The results of the reconstruction of human tumor cells using different algorithms are shown in Fig. 5.…”

Section: Real Experimentsmentioning

confidence: 99%

Fast and robust Fourier ptychographic microscopy with position misalignment correction

Luo,

Wu,

Chen

et al. 2023

J. Biomed. Opt.

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show abstract

“…To achieve a full FOV HR image while dealing with the bulk data of low resolution (LR) images, the FPM needs a lot of time to calibrate the misalignment of LED arrays. Youquiang et al [17] utilized the space-based correction method based on the PSO algorithm that took 56 seconds for estimating the misalignment of BI consisting of 225 LEDs in the transmission FPM. In our previous work, we reduced the time by using an exhaustive search run in GPU to 27 seconds in the reflective FPM with two illuminators consisting of 88 LEDs [22].…”

Section: Discussionmentioning

confidence: 99%

“…However, there is a problem in that the method cannot guarantee the exact global optimization. In 2022, Zhu et al proposed a space-based correction (SBC) method for a tFPM which utilized the particle swarm optimization algorithm to search the four misalignment parameters in the space domain [17]. Nevertheless, the SBC method required a lot of populations and iterations for searching the global optimization, taking a lot of time.…”

Section: Introductionmentioning

confidence: 99%

Whale Optimization Algorithm-Based Parallel Computing for Accelerating Misalignment Estimation of Reflective Fourier Ptychography Microscopy

2023

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ReflectiveFourier ptychographic microscopy has much potential for industrial surface inspection due to the ability to overcome the physical limits of the numerical aperture of the optical microscopy. However, the time cost for misalignment calibration and Fourier ptychography (FP) recovery has been a big issue for industrial applications which require fast output. Here, we introduce a misalignment estimation method which is accelerated through the whale optimization algorithm by running in parallel on Central Processing Units (CPUs), named pWOA, to reduce computing time. The proposed method shows more accurate and faster calibration compared to other population-based algorithms, including the parallel genetic algorithm and the parallel particle swarm optimization, and much faster than that of the exhaustive search both in simulations and in real experiments. In addition, this cost-effective technique can address global nonconvex optimization problems with heavy loss functions including reflective FP.

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Hybrid adaptive step-size strategy for full field of view measurement of ultraviolet Fourier ptychographic microscopy

Pham,

Chon,

Ahn

2025

Optics & Laser Technology

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Space-based correction method for LED array misalignment in Fourier ptychographic microscopy

Cited by 9 publications

References 39 publications

Fast and robust Fourier ptychographic microscopy with position misalignment correction

Fast and robust Fourier ptychographic microscopy with position misalignment correction

Whale Optimization Algorithm-Based Parallel Computing for Accelerating Misalignment Estimation of Reflective Fourier Ptychography Microscopy

Hybrid adaptive step-size strategy for full field of view measurement of ultraviolet Fourier ptychographic microscopy

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