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arXiv 2605.13541physics.optics
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高阶中红外非线性拓扑微分器

High-order mid-infrared nonlinear topological differentiator

East China Normal University(华东师范大学);Chongqing Institute of East China Normal University(华东理工大学重庆研究院);Shanxi University(山西大学);Shanghai Research Center for Quantum Sciences(上海量子科学研究中心);Guangyang Bay Laboratory(广阳湾实验室)

Jixi Zhang, Kun Huang, Shina Liao, Zhuohang Wei, Jianan Fang, Heping Zeng

AI总结:

本文提出一种高灵敏度中红外上转换微分器,通过非线性参量相互作用在中红外傅里叶分量上光学印刻拓扑复幅值模式,实现各向同性的高阶边缘增强,用于生物医学诊断和无标记材料分析。

摘要:

高阶边缘增强成像能够实现精确的特征定位和有效的背景抑制,提供了一种强大的实时识别和高对比度可视化工具。将此能力扩展到中红外(MIR)波段对于生物医学诊断、材料检测和遥感应用尤为重要,但受限于空间频 modulation保真度不足和低检测灵敏度。本文展示了一种在3 μm波长下工作的高灵敏度中红外上转换微分器,通过非线性参量相互作用在中红外傅里叶分量上光学印刻拓扑复幅值模式,实现各向同性的高阶边缘增强。通过将涡旋转移函数 $t(k_r, ϕ) \propto k_r^\ell e^{i\ellϕ}$ 精确编码到相位-only 空间光调制器上,实现了从一阶到四阶的可调中红外微分,实时切换频率高达60 Hz。得益于低噪声上转换过程和单光子敏感的硅相机,系统在低光条件下实现了高对比度边缘成像。实验结果证实了对于幅度和相位物体的准确边缘提取和背景抑制,凸显了其在非侵入式诊断和无标记材料分析中的潜力。

英文摘要:

High-order edge-enhanced imaging enables precise feature localization and effective background suppression, offering a powerful tool for real-time recognition and high-contrast visualization. Extending this capability to the mid-infrared (MIR) regime is particularly valuable for applications such as biomedical diagnostics, material inspection, and remote sensing, yet remains limited by inadequate spatial-frequency modulation fidelity and low detection sensitivity. Here, we demonstrate a high-sensitivity MIR upconversion differentiator operating at 3 $μ$m, which achieves isotropic high-order edge enhancement by optically imprinting topological complex-amplitude patterns onto MIR Fourier components via nonlinear parametric interaction. Vortex transfer functions $t(k_r, ϕ) \propto k_r^\ell e^{i\ellϕ}$ are precisely encoded on a phase-only spatial light modulator to enable tunable MIR differentiation from first- to fourth- order, with real-time switching at up to 60 Hz. Benefiting from a low-noise upconversion process and a single-photon-sensitive silicon camera, the system achieves high-contrast edge imaging under low-light conditions. Experimental results confirm accurate edge extraction and background suppression for both amplitude and phase objects, hence underscoring its potential for noninvasive diagnostics and label-free material analysis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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