High-resolution X-ray luminescence extension imaging

Xiangyu Ou, Xian Qin, Bolong Huang, Jie Zan, Qinxia Wu, Zhongzhu Hong, Lili Xie, Hongyu Bian, Zhigao Yi, Xiaofeng Chen, Yiming Wu, Xiaorong Song, Juan Li, Qiushui Chen*, Huanghao Yang*, Xiaogang Liu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

682 Citations (Scopus)

Abstract

Current X-ray imaging technologies involving flat-panel detectors have difficulty in imaging three-dimensional objects because fabrication of large-area, flexible, silicon-based photodetectors on highly curved surfaces remains a challenge1–3. Here we demonstrate ultralong-lived X-ray trapping for flat-panel-free, high-resolution, three-dimensional imaging using a series of solution-processable, lanthanide-doped nanoscintillators. Corroborated by quantum mechanical simulations of defect formation and electronic structures, our experimental characterizations reveal that slow hopping of trapped electrons due to radiation-triggered anionic migration in host lattices can induce more than 30 days of persistent radioluminescence. We further demonstrate X-ray luminescence extension imaging with resolution greater than 20 line pairs per millimetre and optical memory longer than 15 days. These findings provide insight into mechanisms underlying X-ray energy conversion through enduring electron trapping and offer a paradigm to motivate future research in wearable X-ray detectors for patient-centred radiography and mammography, imaging-guided therapeutics, high-energy physics and deep learning in radiology. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Original languageEnglish
Pages (from-to)410-415
JournalNature
Volume590
Issue number7846
Online published17 Dec 2020
DOIs
Publication statusPublished - 18 Feb 2021
Externally publishedYes

Funding

We thank L. Ma, Y. Huang, X. Wang and B. Hou for technical assistance. This work is supported by the National Key and Program of China (grant number 2018YFA0902600), the National Natural Science Foundation of China (grant numbers 21635002, 21771135, 21871071 and 21771156), the Early Career Scheme fund (grant number PolyU 253026/16P) from the Research Grant Council in Hong Kong, Research Institute for Smart Energy of the Hong Kong Polytechnic University, Agency for Science, Technology and Research (grant numbers A1883c0011 and A1983c0038), NUS NanoNash Programme (NUHSRO/2020/002/NanoNash/LOA and R143000B43114) and National Research Foundation, the Prime Minister’s Office of Singapore under its NRF Investigatorship Programme (award number NRF-NRFI05-2019-0003).

RGC Funding Information

  • RGC-funded

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