High‐Performance Perovskite Flat Panel X‐Ray Imagers via Blade Coating

Perovskite X-ray detectors are recognized as the most promising candidates for low-dose detectors due to their superior performance. However, it is still full of challenging in the fabrication of flat-panel X-ray imagers (FPXIs), primarily due to the absence of large area thick films that exhibit high uniformity and long-term performance stability. A general synthesis route is urgently needed to grow large-scale halide perovskite thick films directly on a pixeled thin-film transistor (TFT) backplane with high uniformity, closing the gap between the great potential of perovskite X-ray detectors and their entry into the market. In this work, an advanced precursor paste suitable for blade coating is developed to enable high-throughput manufacturing of FPXIs. Highly uniform perovskite films with a thickness of 300-micrometers are directly deposited onto pixeled TFT substrates by the blade-coating method using the above paste, which governs a stable dark current and minimal noise of the X-ray detectors. As a result, (BA)<sub>2</sub>(MA)<sub>9</sub>Pb<sub>10</sub>I<sub>31</sub> perovskite X-ray detectors achieved a high sensitivity of 15200 µC Gy<sub>air</sub> <sup>-1</sup> cm<sup>-2</sup> and a limit of detection (LoD) of 26.8 nGy<sub>air</sub> s<sup>-1</sup>. Moreover, FPXIs with a spatial resolution of 0.95 lp mm<sup>-1</sup> (0.475 lp pixel<sup>-1</sup>) are obtained, which exhibits negligible signal crosstalk and excellent X-ray imaging performance.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2024-12-10
DOI
https://doi.org/10.1002/smtd.202401342
Citations
8
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
1.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High‐Performance Perovskite Flat Panel X‐Ray Imagers via Blade Coating

Zhenghui Fan, Ruihan Yuan, Xiaojia Zheng, Shujie Tie et al.
8 citations
Small Methods
Perovskite Materials and Applications
1.67
article

High‐Performance Perovskite Flat Panel X‐Ray Imagers via Blade Coating

Zhenghui Fan, Ruihan Yuan, Xiaojia Zheng, Shujie Tie, Siyin Dong, Aiping Zhang, Wanjia Tian, Congcong Wu, Xiaojuan Lu
article en
8 citations

Abstract

Perovskite X-ray detectors are recognized as the most promising candidates for low-dose detectors due to their superior performance. However, it is still full of challenging in the fabrication of flat-panel X-ray imagers (FPXIs), primarily due to the absence of large area thick films that exhibit high uniformity and long-term performance stability. A general synthesis route is urgently needed to grow large-scale halide perovskite thick films directly on a pixeled thin-film transistor (TFT) backplane with high uniformity, closing the gap between the great potential of perovskite X-ray detectors and their entry into the market. In this work, an advanced precursor paste suitable for blade coating is developed to enable high-throughput manufacturing of FPXIs. Highly uniform perovskite films with a thickness of 300-micrometers are directly deposited onto pixeled TFT substrates by the blade-coating method using the above paste, which governs a stable dark current and minimal noise of the X-ray detectors. As a result, (BA)<sub>2</sub>(MA)<sub>9</sub>Pb<sub>10</sub>I<sub>31</sub> perovskite X-ray detectors achieved a high sensitivity of 15200 µC Gy<sub>air</sub> <sup>-1</sup> cm<sup>-2</sup> and a limit of detection (LoD) of 26.8 nGy<sub>air</sub> s<sup>-1</sup>. Moreover, FPXIs with a spatial resolution of 0.95 lp mm<sup>-1</sup> (0.475 lp pixel<sup>-1</sup>) are obtained, which exhibits negligible signal crosstalk and excellent X-ray imaging performance.

Small MethodsVol. 9(4)
China Academy of Engineering Physics (CN), Sichuan Research Center of New Materials (CN), Hubei University (CN)
National Natural Science Foundation of China, Sichuan Province Science and Technology Support Program
Openalex Percentile: Top 15%
Perovskite Materials and Applications
1.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.