Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy

Fourier ptychographic microscopy (FPM) is a computational imaging technique that combines a large field of view and high-resolution. It stitches low-resolution images captured under varying illumination corresponding to different angles in the frequency domain to realize quantitative phase imaging w...

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Main Authors: Luo Jiaxiong, Wu Ruofei, Luo Zicong, Tan Haishu, Zhen Junrui, Zhu Sicong, Chen Hanbao, Li Jiancong, Wu Yanxiong
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9964032/
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author Luo Jiaxiong
Wu Ruofei
Luo Zicong
Tan Haishu
Zhen Junrui
Zhu Sicong
Chen Hanbao
Li Jiancong
Wu Yanxiong
author_facet Luo Jiaxiong
Wu Ruofei
Luo Zicong
Tan Haishu
Zhen Junrui
Zhu Sicong
Chen Hanbao
Li Jiancong
Wu Yanxiong
author_sort Luo Jiaxiong
collection DOAJ
description Fourier ptychographic microscopy (FPM) is a computational imaging technique that combines a large field of view and high-resolution. It stitches low-resolution images captured under varying illumination corresponding to different angles in the frequency domain to realize quantitative phase imaging with high spatial bandwidth product. Our previous algorithm (AA algorithm) effectively solves the problem of noise interference and the algorithm is difficult to converge. In FPM experiments, the fluctuation of LED intensity is inevitable, which significantly affects the quality of reconstructed images. The usual solution is to perform intensity correction in the reconstruction algorithm. However, in this study, it is found that the AA algorithm is incompatible with the intensity correction method, which will decrease the convergence performance. To solve this problem, we develop a more general reconstruction algorithm based on the AA algorithm in this study. The simulation and experimental results show that the improved algorithm framework is compatible with the intensity correction method, resulting in an increase in intensity correction reliability and effectiveness. Compared with the GS and AS methods with intensity correction, the error in reconstruction results can be reduced by 52.03% and 29.35%, respectively, without increasing the amount of calculation.
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spelling doaj.art-5a7d2537846a493e9666139d746642102022-12-22T04:40:59ZengIEEEIEEE Photonics Journal1943-06552022-01-011461610.1109/JPHOT.2022.32248469964032Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic MicroscopyLuo Jiaxiong0https://orcid.org/0000-0001-7253-0607Wu Ruofei1Luo Zicong2Tan Haishu3Zhen Junrui4Zhu Sicong5Chen Hanbao6Li Jiancong7Wu Yanxiong8https://orcid.org/0000-0003-3592-7175School of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaSchool of Physics and Optoelectronic Engineering, Foshan Uniiversity, Foshan, ChinaFourier ptychographic microscopy (FPM) is a computational imaging technique that combines a large field of view and high-resolution. It stitches low-resolution images captured under varying illumination corresponding to different angles in the frequency domain to realize quantitative phase imaging with high spatial bandwidth product. Our previous algorithm (AA algorithm) effectively solves the problem of noise interference and the algorithm is difficult to converge. In FPM experiments, the fluctuation of LED intensity is inevitable, which significantly affects the quality of reconstructed images. The usual solution is to perform intensity correction in the reconstruction algorithm. However, in this study, it is found that the AA algorithm is incompatible with the intensity correction method, which will decrease the convergence performance. To solve this problem, we develop a more general reconstruction algorithm based on the AA algorithm in this study. The simulation and experimental results show that the improved algorithm framework is compatible with the intensity correction method, resulting in an increase in intensity correction reliability and effectiveness. Compared with the GS and AS methods with intensity correction, the error in reconstruction results can be reduced by 52.03% and 29.35%, respectively, without increasing the amount of calculation.https://ieeexplore.ieee.org/document/9964032/Fourier ptychographic microscopyintensity fluctuationphase retrievalintensity correctionimage quality
spellingShingle Luo Jiaxiong
Wu Ruofei
Luo Zicong
Tan Haishu
Zhen Junrui
Zhu Sicong
Chen Hanbao
Li Jiancong
Wu Yanxiong
Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy
IEEE Photonics Journal
Fourier ptychographic microscopy
intensity fluctuation
phase retrieval
intensity correction
image quality
title Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy
title_full Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy
title_fullStr Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy
title_full_unstemmed Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy
title_short Adaptive Correction Method of Uneven Intensity in Fourier Ptychographic Microscopy
title_sort adaptive correction method of uneven intensity in fourier ptychographic microscopy
topic Fourier ptychographic microscopy
intensity fluctuation
phase retrieval
intensity correction
image quality
url https://ieeexplore.ieee.org/document/9964032/
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