ARTICLE
28 February 2026

基于暗场稀疏先验的QDPC 相位重建与缺陷检测

子铭 曾1 宇轩 夏1 玄玉 刘2 艳华 王1 好 李1 雨轩 涂1
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1 深圳职业技术大学, 中国
2 深圳市宣恒医疗科技有限公司, 中国
© 2026 by the Author(s). Licensee Art and Technology, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

定量差分相衬(Quantitative Differential Phase Contrast, QDPC)成像作为一种非干涉定量相位恢复技术,在无标记生物样本成像中具有重要应用。然而,传统QDPC 重建算法未充分考虑成像系统的内在特性,导致重建质量易受噪声和背景波动影响。近年来,研究者提出利用暗场稀疏先验(Dark-field Sparse Prior, DSP)改进QDPC 相位重建,通过L0范数优化实现高保真度相位恢复。本文系统阐述了暗场图像与QDPC 相位重建的基本原理,分析了DSP 方法的核心思想与数学实现,并探讨了其在缺陷检测领域的应用潜力。

Keywords
定量差分相衬
暗场稀疏先验
相位重建
缺陷检测
L0范数
References

[1]Shao M. Dark-field Sparse Prior for Quantitative DPC Imaging. SPIE Digital Library, 2020.
[2]Zhang S, Peng T, Ke Z, et al. High-fidelity quantitative differential phase contrast deconvolution using dark-field sparse prior. In the processing of the Sixteenth
International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023). SPIE, 234-242(12745), 2023.
[3]Peng T, Ke Z, Zhang S, et al. Quantitative differential phase contrast phase reconstruction for sparse samples. Optics and Lasers in Engineering, 74-78(163), 2023.
[4]Zhang S, Wu H, Peng T, et al. Pupil-driven quantitative differential phase contrast imaging. arXiv preprint, 2306-2310, 2023.
[5]Fan Y, Sun J, Chen Q, et al. Optimal illumination scheme for isotropic quantitative differential phase contrast microscopy. Photonics Research, 890-905(8), 2019.

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