Song, JiaqiLiu, BaoleiWANG, YAOChen, ChaohaoShan, XuchenZHONG, XIAOLANWU, LING-ANWANG, FAN2024-08-122024-08-122327-9125https://hdl.handle.net/1885/733714613Ultraviolet (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 complex thermoelectric cooling systems. 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. 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 nondestructive 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.National Natural Science Foundation of China (62075004, 62275010, 11804018); China Postdoctoral Science Foundation (2022M720347, 2022TQ0020); Beijing Municipal Natural Science Foundation (4212051, 1232027); International Postdoctoral Exchange Fellowship Program (YJ20220241, YJ20220037); Fundamental Research Funds for the Central Universities.application/pdfen-AU© 2024 The authorshttp://creativecommons.org/licenses/by/4.0/202410.1364/PRJ.5039742024-05-12Creative Commons Attribution licence