ArticleNature communications2025
Single photon γ-ray imaging with high energy and spatial resolution perovskite semiconductor for nuclear medicine.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Design and Electrical Performance Simulation of a Novel 3D Silicon Detector with Interleaved Trench Electrodes.Micromachines · 2026Article
- From Materials to Medical Images: Translating Perovskite-Based X-Ray Detectors Toward Clinical Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Amine-Salt-Assisted Solution Crystallization of Inorganic Perovskite Single Crystals for High-Performance X-Ray Detection.Nano-micro letters · 2026Article
- X-ray and γ-ray beam interstellar communication and implications for SETI.Scientific reports · 2026Article
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
Integrating semiconductor detectors with high energy and spatial resolution is vital for advancing nuclear medicine imaging. Perovskite semiconductors afford unprecedented opportunity for reshaping radiation detection technologies. Nevertheless, perovskite semiconductors have yet to prove their ability in single photon γ-ray imaging, which is essential for enabling nuclear medicine imaging. Herein, we present a pioneering approach to develop high resolution perovskite CsPbBr
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.