Literature DB >> 31163863

Apodized coherent transfer function constraint for partially coherent Fourier ptychographic microscopy.

Xiong Chen, Youqiang Zhu, Minglu Sun, Dayu Li, Quanquan Mu, Li Xuan.   

Abstract

Fourier ptychographic microscopy (FPM) is a recently developed computational microscopy approach that produces both wide field-of-view (FOV) and high resolution (HR) intensity and a phase image of the sample. Inspired by the ideas of synthetic aperture and phase retrieval, FPM iteratively stitches multiple low-resolution (LR) images with variable illumination angles in Fourier space to reconstruct an HR complex image. Typically, FPM illuminating the sample with an LED array is approximated as a coherent imaging process, and the coherent transfer function (CTF) is imposed as a support constraint in Fourier space. However, a millimeter-scale LED is inapposite to be treated as a coherent light source. As a result, the quality of reconstructed image is degraded by the inappropriate approximation. In this paper, we analyze the coherence of an FPM system and propose a novel constraint approach termed Apodized CTF (AC) constraint in Fourier space. Results on both simulated data and actual captured data show that this new constraint is more stable and robust than CTF. This approach can also relax the coherence requirement of illumination. In addition, it is simple, does not require additional computations, and is easy to be embedded in almost all the reconstruction algorithms proposed so far.

Entities:  

Year:  2019        PMID: 31163863     DOI: 10.1364/OE.27.014099

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Deep Multi-Feature Transfer Network for Fourier Ptychographic Microscopy Imaging Reconstruction.

Authors:  Xiaoli Wang; Yan Piao; Jinyang Yu; Jie Li; Haixin Sun; Yuanshang Jin; Limin Liu; Tingfa Xu
Journal:  Sensors (Basel)       Date:  2022-02-06       Impact factor: 3.576

  1 in total

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