ArticleBiomedical optics express2016
Motion-corrected Fourier ptychography.
Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Lensless Quantitative Phase Imaging with Bayer-Filtered Color Sensors Under Sequential RGB-LED Illumination.Journal of imaging · 2026Article
- Article
- Ptychography at all wavelengths.Nature reviews. Methods primers · 2025Article
- Spatially-coded Fourier ptychography: flexible and detachable coded thin films for quantitative phase imaging with uniform phase transfer characteristics.Advanced optical materials · 2024Article
- Fast Fourier ptychographic quantitative phase microscopy for in vitro label-free imaging.Biomedical optics express · 2024Article
- Optical ptychography for biomedical imaging: recent progress and future directions [Invited].Biomedical optics express · 2023Review
- Fast digital refocusing and depth of field extended Fourier ptychography microscopy.Biomedical optics express · 2021Article
- Dither removing Fourier ptychographic microscope based on a two-axis rotation stage.Journal of biomedical optics · 2021Article
- 13-fold resolution gain through turbid layer via translated unknown speckle illumination.Biomedical optics express · 2018Article
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Authors and funding
7 authors.
Funding
Abstract
Fourier ptychography (FP) is a recently proposed computational imaging technique for high space-bandwidth product imaging. In real setups such as endoscope and transmission electron microscope, the common sample motion largely degrades the FP reconstruction and limits its practicability. In this paper, we propose a novel FP reconstruction method to efficiently correct for unknown sample motion. Specifically, we adaptively update the sample's Fourier spectrum from low spatial-frequency regions towards high spatial-frequency ones, with an additional motion recovery and phase-offset compensation procedure for each sub-spectrum. Benefiting from the phase retrieval redundancy theory, the required large overlap between adjacent sub-spectra offers an accurate guide for successful motion recovery. Experimental results on both simulated data and real captured data show that the proposed method can correct for unknown sample motion with its standard deviation being up to 10% of the field-of-view scale. We have released our source code for non-commercial use, and it may find wide applications in related FP platforms such as endoscopy and transmission electron microscopy.
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Registered trials
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