Single-pixel imaging with neutrons

被引:33
|
作者
He, Yu-Hang [1 ,2 ]
Huang, Yi-Yi [1 ,2 ]
Zeng, Zhi-Rong [3 ,4 ]
Li, Yi-Fei [1 ,2 ]
Tan, Jun-Hao [1 ,2 ]
Chen, Li-Ming [5 ,6 ,7 ]
Wu, Ling-An [1 ,2 ]
Li, Ming-Fei [8 ]
Quan, Bao-Gang [1 ,2 ]
Wang, Song-Lin [3 ,4 ]
Liang, Tian-Jiao [3 ,4 ]
机构
[1] Chinese Acad Sci, Inst Phys, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Inst High Energy Phys, Beijing 100049, Peoples R China
[4] Spallat Neutron Source Sci Ctr, Dongguan 523803, Peoples R China
[5] Shanghai Jiao Tong Univ, IFSA Collaborat Innovat Ctr, Shanghai 200240, Peoples R China
[6] Shanghai Jiao Tong Univ, Sch Phys & Astron, Shanghai 200240, Peoples R China
[7] Shenzhen Technol Univ, Coll Engn Phys, Shenzhen 518118, Peoples R China
[8] Beijing Inst Aerosp Control Devices, Beijing 100039, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Single-pixel neutron imaging; Spectral neutron imaging; High resolution neutron ghost imaging;
D O I
10.1016/j.scib.2020.09.030
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Neutron imaging is an invaluable tool for noninvasive analysis in many fields. However, neutron facilities are expensive and inconvenient to access, while portable sources are not strong enough to form even a static image within an acceptable time frame using traditional neutron imaging. Here we demonstrate a new scheme for single-pixel neutron imaging of real objects, with spatial and spectral resolutions of 100 lm and 0.4% at 1 angstrom, respectively. Low illumination down to 1000 neutron counts per frame pattern was achieved. The experimental setup is simple, inexpensive, and especially suitable for low intensity portable sources, which should greatly benefit applications in biology, material science, and industry. (C) 2020 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
引用
收藏
页码:133 / 138
页数:6
相关论文
共 50 条
  • [31] Reconstruction Algorithms for Ghost Imaging and Single-Pixel Imaging
    Sun Mingjie
    Yan Songming
    Wang Siyuan
    [J]. LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (02)
  • [32] COMPUTATIONAL IMAGING Colour imaging with single-pixel detectors
    Horiuchi, Noriaki
    [J]. NATURE PHOTONICS, 2013, 7 (12) : 943 - 943
  • [33] Spatial temporal Fourier single-pixel imaging
    Tang, Zixin
    Tang, Tianhang
    Chen, Jie
    Lv, Shun
    Liu, Yiguang
    [J]. OPTICS LETTERS, 2023, 48 (08) : 2066 - 2069
  • [34] Enhancing resolution of single-pixel imaging system
    Shi, Dongfeng
    Huang, Jian
    Wang, Feng
    Cao, Kaifa
    Yuan, Kee
    Hu, Shunxing
    Wang, Yingjian
    [J]. OPTICAL REVIEW, 2015, 22 (05) : 802 - 808
  • [35] Single-pixel imaging using caustic patterns
    Toninelli, Ermes
    Stellinga, Daan
    Sephton, Bereneice
    Forbes, Andrew
    Padgett, Miles J.
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [36] Complex-amplitude single-pixel imaging
    Ota, Kazuki
    Hayasaki, Yoshio
    [J]. OPTICS LETTERS, 2018, 43 (15) : 3682 - 3685
  • [37] Comprehensive comparison of single-pixel imaging methods
    Lu, Tian'ao
    Qiu, Ziheng
    Zhang, Zibang
    Zhong, Jingang
    [J]. OPTICS AND LASERS IN ENGINEERING, 2020, 134
  • [38] Towards Single-Pixel Quantum Thermal Imaging
    An, Haechan
    Ather, Hamza
    Shakouri, Ali
    Hosseini, Mahdi
    [J]. 2023 IEEE PHOTONICS CONFERENCE, IPC, 2023,
  • [39] Single-pixel imaging 12 years on: a review
    Gibson, Graham M.
    Johnson, Steven D.
    Padgett, Miles J.
    [J]. OPTICS EXPRESS, 2020, 28 (19) : 28190 - 28208
  • [40] Edge detection based on single-pixel imaging
    Ren, Hongdou
    Zhao, Shengmei
    Gruska, Jozef
    [J]. OPTICS EXPRESS, 2018, 26 (05): : 5501 - 5511