Photon-level single-pixel 3D tomography with masked attention network

作者：Kai Song, Yaoxing Bian, Fanjin Zeng, Zhe Liu, Shuangping Han, Jiamin Li, Jiazhao Tian, K Li, Xiaoyu Shi, Liantuan Xiao · 发表于：Optics Express · 年份：2024 · DOI：10.1364/oe.510706 · 被引用次数：18 · 研究领域：Random lasers and scattering media、Advanced Optical Sensing Technologies、Advanced Fluorescence Microscopy Techniques

Tomography plays an important role in characterizing the three-dimensional structure of samples within specialized scenarios. In the paper, a masked attention network is presented to eliminate interference from different layers of the sample, substantially enhancing the resolution for photon-level single-pixel tomographic imaging. The simulation and experimental results have demonstrated that the axial resolution and lateral resolution of the imaging system can be improved by about 3 and 2 times respectively, with a sampling rate of 3.0 %. The scheme is expected to be seamlessly integrated into various tomography systems, which is conducive to promoting the tomographic imaging for biology, medicine, and materials science.