Perovskite Materials for X-Ray Detection and Imaging
Summary
Metal halide perovskites have emerged as a versatile class of semiconductors for direct X-ray detection and imaging, combining high atomic number constituents with defect-tolerant crystal lattices. Their ABX₃ structure (typically A = organic cation or cesium, B = lead or substitute metal, X = halide) affords strong X-ray absorption, tunable bandgap and long charge-carrier lifetimes. Solution-processability enables growth of large single crystals and polycrystalline films at low temperature and cost, while compositional engineering can mitigate lead toxicity and improve operational stability. Direct-detection devices exploit perovskites’ high mobility-lifetime products to convert incoming photons into electrical signals with minimal scattering and high spatial resolution. Scintillating variants further convert X-rays into visible light for indirect detection. Recent advances address key challenges—ion migration, baseline drift and environmental degradation—through passivation, strain engineering and heterostructure design. The combination of low-bias operation, single-photon sensitivity and scalable fabrication positions perovskite detectors as competitive alternatives to conventional CdTe, Si and a-Se systems across medical, security and industrial imaging applications.
Research from Nature Portfolio
In 2023, thick methylammonium lead iodide single crystals grown directly on hole-transporting electrodes demonstrated single-photon counting at zero-bias operation. These devices achieved 88 % detection efficiency for 18 keV X-rays, a noise-equivalent dose of 90 pGyair and spatial resolution up to 11 lp mm⁻¹, with operational stability exceeding one year. This work establishes a low-voltage, long-term stable platform for hybrid perovskite imaging arrays.
A 2022 study resolved the stability–performance trade-off by combining A-site cation alloys with B-site dopants in metal halide perovskite single crystals. Synergistic composition and strain engineering yielded sensitivity of ≈2.6 × 10⁴ μC Gyair⁻¹ cm⁻² at 1 V cm⁻¹ and a detection limit of 7.1 nGyair s⁻¹, alongside half-year operational stability and thermal tolerance up to 125 °C, enabling low-bias portable imaging prototypes.
Low-temperature crystallisation of CsPbBr₃ in water, reported in 2021, delivered single crystals with superior charge transport and ambient stability compared to solvent-grown counterparts. Devices based on these crystals exhibited enhanced photoconductive gain and image contrast, highlighting the potential of eco-friendly, water-based growth routes for high-performance X-ray detectors.
Perovskite Materials for X-Ray Detection and Imaging publication trend
The graph below shows the total number of articles in perovskite materials for x-ray detection and imaging across all publications each year (not limited to Nature Index journals).
Technical terms
Perovskite: A crystal structure of the form ABX₃, where A is a monovalent cation, B a divalent metal and X a halide.
Direct detection: Conversion of X-ray photons directly into charge carriers without an intermediate luminescent step.
Mobility-lifetime product (μτ): Figure of merit combining charge-carrier mobility and lifetime, determining charge-collection efficiency.
Ionic migration: Movement of mobile ions within the perovskite lattice under an electric field, leading to noise and drift.
Scintillator: Material that converts high-energy photons into visible light for indirect detection by photodiodes or cameras.
References
- Stable perovskite single-crystal X-ray imaging detectors with single-photon sensitivity. Nature Photonics (2023).
- Synergistic strain engineering of perovskite single crystals for highly stable and sensitive X-ray detectors with low-bias imaging and monitoring. Nature Photonics (2022).
- Crystallization of CsPbBr3 single crystals in water for X-ray detection. Nature Communications (2021).
- Two-Dimensional Metal Halides for X-Ray Detection Applications. Nano-Micro Letters (2023).
- Metal Halide Perovskites for High‐Energy Radiation Detection. Advanced Science (2020).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.