用超分辨率提升全息显微图像精度，助力生物与材料高精度成像。
Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis
- 对比RCAN与Real-ESRGAN在干涉图重建中的表现。
- RCAN更保相位精度，Real-ESRGAN更优视觉效果。
- 适合需要精准相位或清晰可视化场景的科研人员。
本研究探讨了超分辨率技术在全息显微镜中对定量相位成像的增强作用。采用离轴马赫-曾德干涉系统采集干涉图，并基于微粒子数据集评估两种超分辨率模型——RCAN与Real-ESRGAN的性能。通过图像级分析提升结构细节，通过形态学评估保障样品完整性与相位图准确性。结果表明，RCAN在数值精度上表现更优，适用于高精度相位重建；而Real-ESRGAN在视觉质量和结构一致性方面更佳，适合可视化应用。研究证实超分辨率可突破全息显微中的衍射极限，为生物诊断、材料科学等高精度领域提供新方法。
原文摘要 · Abstract (English)
This study investigates the application of Super-Resolution techniques in holographic microscopy to enhance quantitative phase imaging. An off-axis Mach-Zehnder interferometric setup was employed to capture interferograms. The study evaluates two Super-Resolution models, RCAN and Real-ESRGAN, for their effectiveness in reconstructing high-resolution interferograms from a microparticle-based dataset. The models were assessed using two primary approaches: image-based analysis for structural detail enhancement and morphological evaluation for maintaining sample integrity and phase map accuracy. The results demonstrate that RCAN achieves superior numerical precision, making it ideal for applications requiring highly accurate phase map reconstruction, while Real-ESRGAN enhances visual quality and structural coherence, making it suitable for visualization-focused applications. This study highlights the potential of Super-Resolution models in overcoming diffraction-imposed resolution limitations in holographic microscopy, opening the way for improved imaging techniques in biomedical diagnostics, materials science, and other high-precision fields.
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