Adaptive correction method of hybrid aberrations in Fourier ptychographic microscopy

• Published in: Journal of biomedical optics 2023-03, Vol.28 (3), p.036006-036006
• Main Authors: Wu, Ruofei, Luo, Jiaxiong, Li, Jiancong, Chen, Hanbao, Zhen, Junrui, Zhu, Sicong, Luo, Zicong, Wu, Yanxiong
• Format: Article
• Language: English
• Subjects: Aberration; Adaptive algorithms; Algorithms; Biological effects; Datasets; Hybrid systems; Image contrast; Image processing; Image quality; Image reconstruction; Image resolution; Imaging; Light; Methods; Microscopy; Microscopy - methods; Microscopy, Phase-Contrast; Optical Devices; Optimization; Phase contrast; Recovery; Spectrum allocation; Wave fronts
• ISSN: 1083-3668; 1560-2281
• DOI: 10.1117/1.JBO.28.3.036006

Fourier ptychographic microscopy (FPM) enables quantitative phase imaging with a large field-of-view and high resolution by acquiring a series of low-resolution intensity images corresponding to different spatial frequencies stitched together in the Fourier domain. However, the presence of various aberrations in an imaging system can significantly degrade the quality of reconstruction results. The imaging performance and efficiency of the existing embedded optical pupil function recovery (EPRY-FPM) aberration correction algorithm are low due to the optimization strategy. An aberration correction method (AA-P algorithm) based on an improved phase recovery strategy is proposed to improve the reconstruction image quality. This algorithm uses adaptive modulation factors, which are added while updating iterations to optimize the spectral function and optical pupil function updates of the samples, respectively. The effectiveness of the proposed algorithm is verified through simulations and experiments using an open-source biological sample dataset. Experimental results show that the proposed AA-P algorithm in an optical system with hybrid aberrations, recovered complex amplitude images with clearer contours and higher phase contrast. The image reconstruction quality was improved by 82.6% when compared with the EPRY-FPM algorithm. The proposed AA-P algorithm can reconstruct better results with faster convergence, and the recovered optical pupil function can better characterize the aberration of the imaging system. Thus, our method is expected to reduce the strict requirements of wavefront aberration for the current FPM.