Reconfigurable perovskite X-ray detector for intelligent imaging

Jincong Pang, Haodi Wu, Hao Li, Tong Jin, Jiang Tang and Guangda Niu ()
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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
Guangda Niu: Huazhong University of Science and Technology

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-46184-0

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