Xie Jin-Tao, Tan Jun-Hao, Bie Shu-Hang, Li Ming-Fei, Chen Li-Ming, Wu Ling-An
Opt Lett. 2024 Aug 1;49(15):4162-4165. doi: 10.1364/OL.527457.
Based on the x-ray absorption edges of different elements, we simultaneously image and distinguish the composition of three differently shaped components of an object by using energy-resolved x-ray absorption ghost imaging (GI). The initial x-ray beam is spatially modulated by a series of Hadamard matrix masks, and the object is composed of three pieces of Mo, Ag, and Sn foil in the shape of a triangle, square, and circle, respectively. The transmitted x-ray intensity is measured by an energy-resolved single-pixel detector with a spectral resolution better than 0.8 keV. Through correlation of the transmission spectra with the corresponding Hadamard patterns, the spectral image of the sample is reconstructed, with a spatial resolution of 108 µm. Our experiment demonstrates a practical application of spectral ghost imaging, which has important potential for the noninvasive analysis of material composition and distribution in biology, medical science, and many other fields.
基于不同元素的X射线吸收边,我们通过使用能量分辨X射线吸收鬼成像(GI)同时对物体的三个不同形状的组件进行成像并区分其成分。初始X射线束由一系列哈达玛矩阵掩模进行空间调制,该物体由分别呈三角形、正方形和圆形的三块钼箔、银箔和锡箔组成。透过的X射线强度由光谱分辨率优于0.8 keV的能量分辨单像素探测器测量。通过将透射光谱与相应的哈达玛图案进行关联,重建出样品的光谱图像,空间分辨率为108 µm。我们的实验展示了光谱鬼成像的实际应用,其在生物学、医学以及许多其他领域的材料成分和分布的非侵入性分析方面具有重要潜力。