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Reconfigurable perovskite X-ray detector for intelligent imaging

Author

Listed:
  • Jincong Pang

    (Huazhong University of Science and Technology)

  • Haodi Wu

    (Huazhong University of Science and Technology)

  • Hao Li

    (Huazhong University of Science and Technology)

  • Tong Jin

    (Huazhong University of Science and Technology)

  • Jiang Tang

    (Huazhong University of Science and Technology
    Optical Valley Laboratory)

  • Guangda Niu

    (Huazhong University of Science and Technology
    Optical Valley Laboratory)

Abstract

X-ray detection is widely used in various applications. However, to meet the demand for high image quality and high accuracy diagnosis, the raw data increases and imposes challenges for conventional X-ray detection hardware regarding data transmission and power consumption. To tackle these issues, we present a scheme of in-X-ray-detector computing based on CsPbBr3 single-crystal detector with convenient polarity reconfigurability, good linear dynamic range, and robust stability. The detector features a stable trap-free device structure and achieves a high linear dynamic range of 106 dB. As a result, the detector could achieve edge extraction imaging with a data compression ratio of ~50%, and could also be programmed and trained to perform pattern recognition tasks with a high accuracy of 100%. Our research shows that in-X-ray-detector computing can be used in flexible and complex scenarios, making it a promising platform for intelligent X-ray imaging.

Suggested Citation

  • Jincong Pang & Haodi Wu & Hao Li & Tong Jin & Jiang Tang & Guangda Niu, 2024. "Reconfigurable perovskite X-ray detector for intelligent imaging," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46184-0
    DOI: 10.1038/s41467-024-46184-0
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    References listed on IDEAS

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