ArticleBiomedical optics express2022
Robust Fourier ptychographic microscopy via a physics-based defocusing strategy for calibrating angle-varied LED illumination.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Fourier ptychographic enhancement of iterative pathways: autonomous 3D momentum coordination in hybrid ML-PIE architectures.Biomedical optics express · 2025Article
- ST-FPM: suppressor tunable FPM for high-quality and highly robust full-field reconstruction.Biomedical optics express · 2025Article
- Refractive index tomography with a physics-based optical neural network.Biomedical optics express · 2023Article
- Hybrid full-pose parameter calibration of a freeform illuminator for Fourier ptychographic microscopy.Biomedical optics express · 2023Article
- Optical ptychography for biomedical imaging: recent progress and future directions [Invited].Biomedical optics express · 2023Review
- Integration of Fourier ptychography with machine learning: an alternative scheme.Biomedical optics express · 2022Article
- Robust full-pose-parameter estimation for the LED array in Fourier ptychographic microscopy.Biomedical optics express · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Fourier ptychographic microscopy (FPM) is a recently developed computational imaging technique for wide-field, high-resolution microscopy with a high space-bandwidth product. It integrates the concepts of synthetic aperture and phase retrieval to surpass the resolution limit imposed by the employed objective lens. In the FPM framework, the position of each sub-spectrum needs to be accurately known to ensure the success of the phase retrieval process. Different from the conventional methods with mechanical adjustment or data-driven optimization strategies, here we report a physics-based defocusing strategy for correcting large-scale positional deviation of the LED illumination in FPM. Based on a subpixel image registration process with a defocused object, we can directly infer the illumination parameters including the lateral offsets of the light source, the in-plane rotation angle of the LED array, and the distance between the sample and the LED board. The feasibility and effectiveness of our method are validated with both simulations and experiments. We show that the reported strategy can obtain high-quality reconstructions of both the complex object and pupil function even the LED array is randomly placed under the sample with both unknown lateral offsets and rotations. As such, it enables the development of robust FPM systems by reducing the requirements on fine mechanical adjustment and data-driven correction in the construction process.
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Registered trials
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