Cui Yuqing, Xu Yafei, Han Donghai, Wang Xingyu, Shen Zhonglei, Hou Yushan, Liang Junyan, Wang Xianqiao, Citrin David S, Zhang Liuyang, Nandi Asoke K, Yan Ruqiang, Chen Xuefeng
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China.
School of Chemistry, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China.
Sci Adv. 2023 Oct 6;9(40):eadg8435. doi: 10.1126/sciadv.adg8435. Epub 2023 Oct 4.
Noninvasive inspection of layered structures has remained a long-standing challenge for time-resolved imaging techniques, where both resolution and contrast are compromised by prominent signal attenuation, interlayer reflections, and dispersion. Our method based on terahertz (THz) time-domain spectroscopy overcomes these limitations by offering fine resolution and a broadband spectrum to efficiently extract hidden structural and content information from layered structures. We exploit local symmetrical characteristics of reflected THz pulses to determine the location of each layer, and apply a statistical process in the spatiotemporal domain to enhance the image contrast. Its superior performance is evidenced by the extraction of alphabetic characters in 26-layer subwavelength papers as well as layer reconstruction and debonding inspection in the conservation of Terra-Cotta Warriors. Our method enables accurate structure reconstruction and high-contrast imaging of layered structures at ultralow signal-to-noise ratio, which holds great potential for internal inspection of cultural artifacts, electronic components, coatings, and composites with dozens of submillimeter layers.
对于时间分辨成像技术而言,对分层结构进行非侵入式检测一直是一项长期挑战,在这种技术中,分辨率和对比度都会因显著的信号衰减、层间反射和色散而受到影响。我们基于太赫兹(THz)时域光谱的方法克服了这些限制,它提供了高分辨率和宽带光谱,能够有效地从分层结构中提取隐藏的结构和内容信息。我们利用反射太赫兹脉冲的局部对称特性来确定每一层的位置,并在时空域应用统计处理来增强图像对比度。在26层亚波长纸张中提取字母字符以及在兵马俑修复中进行层重建和脱粘检测,证明了其卓越性能。我们的方法能够在超低信噪比下对分层结构进行精确的结构重建和高对比度成像,这在对具有数十个亚毫米层的文物、电子元件、涂层和复合材料进行内部检测方面具有巨大潜力。