Vertical matrix perovskite X-ray detector for effective multi-energy discrimination

Jincong Pang; Shan Zhao; Xinyuan Du; Haodi Wu; Guangda Niu; Jiang Tang

doi:10.1038/s41377-022-00791-y

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Vertical matrix perovskite X-ray detector for effective multi-energy discrimination

Articles

- Vertical matrix perovskite X-ray detector for effective multi-energy discrimination
- Light: Science & Applications Vol. 11, Issue 5, Pages: 935-944(2022)
- Affiliations：
  
  1.Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074 Wuhan, China
  2.Optical Valley Laboratory, 430074 Wuhan, China
- Author bio：
  
  Guangda Niu (guangda_niu@hust.edu.cn)
- Funds：
- DOI：10.1038/s41377-022-00791-y
  CLC：
- Published：31 May 2022，
  
  Published Online：21 April 2022，
  
  Received：11 November 2021，
  
  Revised：29 March 2022，
  
  Accepted：05 April 2022
- Accepted：
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Pang, J. C. et al. Vertical matrix perovskite X-ray detector for effective multi-energy discrimination. Light: Science & Applications, 11, 935-944 (2022).
DOI：

Pang, J. C. et al. Vertical matrix perovskite X-ray detector for effective multi-energy discrimination. Light: Science & Applications, 11, 935-944 (2022). DOI： 10.1038/s41377-022-00791-y.

摘要

Abstract

Multi-energy X-ray detection is sought after for a wide range of applications including medical imaging

security checking and industrial flaw inspection. Perovskite X-ray detectors are superior in terms of high sensitivity and low detection limit

which lays a foundation for multi-energy discrimination. However

the extended capability of the perovskite detector for multi-energy X-ray detection is challenging and has never been reported. Herein we report the design of vertical matrix perovskite X-ray detectors for multi-energy detection

based on the attenuation behavior of X-ray within the detector and machine learning algorithm. This platform is independent of the complex X-ray source components that constrain the energy discrimination capability. We show that the incident X-ray spectra could be accurately reconstructed from the conversion matrix and measured photocurrent response. Moreover

the detector could produce a set of images containing the density-graded information under single exposure

and locate the concealed position for all low-

medium- and high-density substances. Our findings suggest a new generation of X-ray detectors with features of multi-energy discrimination

density differentiation

and contrast-enhanced imaging.

关键词

Keywords

references

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