Ultralow-dose X-ray imaging enabled by vertically homogeneous perovskite films

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ID: 318746
2026
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Abstract
Abstract Artificial intelligence (AI) is rapidly pushing imaging and sensing toward automated, quantitative decision-making, heightening the demand for reliable low-photon-flux detection and imaging across infrared through X-ray regimes, yet developing detectors that truly operate effectively at ultralow photon fluxes has been a challenge. As a canonical instance, low-dose X-ray imaging operates under intrinsically sparse photon statistics, where Poisson fluctuations along the absorption depth couple to vertical transport non-uniformity and are statistically amplified at ultralow dose. Here we elucidate this materials-to-electronics bottleneck and develop a new liquid-phase growth and annealing (LPGA) strategy that eliminates thermal and mass-transport instabilities in conventional methods during crystallization, yielding perovskite films with exceptional vertical uniformity. This enables depth-independent charge collection, significantly reducing stochastic fluctuations in the readout and achieving a ten-fold reduction in image noise. In imaging applications, our detectors deliver high-quality X-ray imaging at an ultralow effective per-pixel integration dose of 40.6 nGyair, setting a new benchmark for safe, high-quality clinical imaging.
Reference Key
openalex_W7165920835 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu Z, Jincong Pang, Zhou Z, Hao Chen, Qinghao Ling, C Li, Yuanpeng Shi, Zhuangzhuang Yang, Ling Xu, Zhiping Zheng, Z L Li, Jiang Tang, Xiaoping Ouyang, Guangda Niu
Journal national science review
Year 2026
DOI
10.1093/nsr/nwag391
URL
https://doi.org/10.1093/nsr/nwag391
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