Iterative autofocusing strategy for axial distance error correction in ptychography

Dou, Jiantai; Gao, Zhishan; Ma, Jun; Chen, Yuan; Yang, Zhongming; Wang, Lei

doi:10.1016/j.optlaseng.2017.06.003

Cited by 26 publications

(10 citation statements)

References 25 publications

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“…The first imperfection considered is axial misalignment of the object-detector distance z, which has been reported to cause nonuniqueness and artifacts in the reconstruction. 23,24 The effect of axial displacement of the detector is to scale the real space coordinates t j attributed to each object frame Oðr − t j Þ. Assuming far-field diffraction, the real space pixel size Δx and field of view L are given by Δx ¼ λz∕D and L ¼ λz∕Δq, respectively, where D is the detector size and Δq is the detector pixel size.…”

Section: Axial Position Correctionmentioning

confidence: 99%

Correction of axial position uncertainty and systematic detector errors in ptychographic diffraction imaging

et al. 2018

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Ptychography is a diffraction imaging method that allows one to solve inverse problems in microscopy with the ability to retrieve information about and correct for systematic errors. Here, we propose techniques to correct for axial position uncertainty, detector point spread, and inhomogeneous detector response using ptychography's inherent self-calibration capabilities. The proposed methods are tested with visible light and x-ray experimental data. We believe that the results are important for precise calibration of ptychographic experimental setups and rigorous quantification of partially coherent beams by means of ptychography.

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Section: Axial Position Correctionmentioning

confidence: 99%

Correction of axial position uncertainty and systematic detector errors in ptychographic diffraction imaging

et al. 2018

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“…Moreover, due to exploiting the second-order correlation, PIII has several advantages in comparison to ptychographical iterative engine (PIE) in coherent diffraction imaging. PIE requires the precise information of the probe function [31][32][33][34][35][36] as well as the accurate distance between an object and a detector [34,[37][38][39]. In contrast, PIII neither needs the information of the detection distance, nor the precise knowledge of the probe function.…”

Section: Introductionmentioning

confidence: 99%

Ptychography Intensity Interferometry Imaging for Dynamic Distant Object

He,

Yuan,

Chen

et al. 2021

Preprint

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As a promising lensless imaging method for distance objects, intensity interferometry imaging (III) had been suffering from the unreliable phase retrieval process, hindering the development of III for decades. Recently, the introduction of the ptychographic detection in III overcame this challenge, and a method called ptychographic III (PIII) was proposed. We here experimentally demonstrate that PIII can image a dynamic distance object. A reasonable image for the moving object can be retrieved with only two speckle patterns for each probe, and only 10 to 20 iterations are needed. Meanwhile, PIII exhibits robust to the inaccurate information of the probe. Furthermore, PIII successfully recovers the image through a fog obfuscating the imaging light path, under which a conventional camera relying on lenses fails to provide a recognizable image.

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“…Algorithmic self-calibration methods [11][12][13][14][15][16][17][18][19][20][21][22][23] eliminate the need for pre-calibration and ground truth test objects by making calibration part of the inverse problem. These methods jointly solve two inverse problems: one for the reconstructed image of the object and the other for the calibration parameters.…”

Section: Introductionmentioning

confidence: 99%

Efficient illumination angle self-calibration in Fourier ptychography

2018

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Fourier ptychography captures intensity images with varying source patterns (illumination angles) in order to computationally reconstruct large space-bandwidth-product images. Accurate knowledge of the illumination angles is necessary for good image quality; hence, calibration methods are crucial, despite often being impractical or slow. Here, we propose a fast, robust, and accurate self-calibration algorithm that uses only experimentally collected data and general knowledge of the illumination setup. First, our algorithm makes a fast direct estimate of the brightfield illumination angles based on image processing. Then, a more computationally intensive spectral correlation method is used inside the iterative solver to further refine the angle estimates of both brightfield and darkfield images. We demonstrate our method for correcting large and small misalignment artifacts in 2D and 3D Fourier ptychography with different source types: an LED array, a galvo-steered laser, and a high-NA quasi-dome LED illuminator.

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Iterative autofocusing strategy for axial distance error correction in ptychography

Cited by 26 publications

References 25 publications

Correction of axial position uncertainty and systematic detector errors in ptychographic diffraction imaging

Correction of axial position uncertainty and systematic detector errors in ptychographic diffraction imaging

Ptychography Intensity Interferometry Imaging for Dynamic Distant Object

Efficient illumination angle self-calibration in Fourier ptychography

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