ArticleScientific reports2018
A fast-converging iterative method based on weighted feedback for multi-distance phase retrieval.
Article in Scientific reports, 2018. 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.
- An accelerated framework for high-resolution X-ray holographic reconstruction.Journal of synchrotron radiation · 2026Article
- Tunable meta-device for large depth of field quantitative phase imaging.Nanophotonics (Berlin, Germany) · 2025Article
- Metalenses phase characterization by multi-distance phase retrieval.Light, science & applications · 2024Article
- Adaptive constraints by morphological operations for single-shot digital holography.Scientific reports · 2023Article
- Real-time single-molecule 3D tracking in E. coli based on cross-entropy minimization.Nature communications · 2023Article
- Holography and Coherent Diffraction Imaging with Low-(30-250 eV) and High-(80-300 keV) Energy Electrons: History, Principles, and Recent Trends.Materials (Basel, Switzerland) · 2020Review
- 3D Imaging Based on Depth Measurement Technologies.Sensors (Basel, Switzerland) · 2018Review
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Authors and funding
7 authors.
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Abstract
Multiple distance phase retrieval methods hold great promise for imaging and measurement due to their less expensive and compact setup. As one of their implementations, the amplitude-phase retrieval algorithm (APR) can achieve stable and high-accuracy reconstruction. However, it suffers from the slow convergence and the stagnant issue. Here we propose an iterative modality named as weighted feedback to solve this problem. With the plug-ins of single and double feedback, two augmented approaches, i.e. the APRSF and APRDF algorithms, are demonstrated to increase the convergence speed with a factor of two and three in experiments. Furthermore, the APRDF algorithm can extend the multiple distance phase retrieval to the partially coherent illumination and enhance the imaging contrast of both amplitude and phase, which actually relaxes the light source requirement. Thus the weighted feedback enables a fast-converging and high-contrast imaging scheme for the iterative phase retrieval.
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Registered trials
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