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arXiv · 2308.01168

Quantitative and dark field ghost imaging with ultraviolet light

Jiaqi Song·Baolei Liu·Yao Wang·Chaohao Chen·Xuchen Shan·Xiaolan Zhong·Ling-An Wu·Fan Wang
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Abstract

Ultraviolet (UV) imaging enables a diverse array of applications, such as material composition analysis, biological fluorescence imaging, and detecting defects in semiconductor manufacturing. However, scientific-grade UV cameras with high quantum efficiency are expensive and include a complex thermoelectric cooling system. Here, we demonstrate a UV computational ghost imaging (UV-CGI) method to provide a cost-effective UV imaging and detection strategy. By applying spatial-temporal illumination patterns and using a 325 nm laser source, a single-pixel detector is enough to reconstruct the images of objects. To demonstrate its capability for quantitative detection, we use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample. Furthermore, we demonstrate dark field UV-CGI in both transmission and reflection schemes. By only collecting the scattered light from objects, we can detect the edges of pure phase objects and small scratches on a compact disc. Our results showcase a feasible low-cost solution for non-destructive UV imaging and detection. By combining it with other imaging techniques, such as hyperspectral imaging or time-resolved imaging, a compact and versatile UV computational imaging platform may be realized for future applications.

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Jiaqi Song, Baolei Liu, Yao Wang, Chaohao Chen, Xuchen Shan, Xiaolan Zhong, Ling-An Wu, Fan Wang. 2023-08-02. Quantitative and dark field ghost imaging with ultraviolet light. https://arxiv.org/abs/2308.01168

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