{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12(1)"],"submitter":["Li Y"],"pubmed_abstract":["A challenge with state-of-the-art projection x-ray imaging technologies is their limited ability to identify unknown substances. Here, we develop an intelligent multienergy x-ray imaging technique capable of precisely distinguishing different substances and labeling them with diverse colors. Our design uses a series of x-ray attenuation coefficient ratios under different x-ray energies as substance-specific markers. For this purpose, unipolar perovskite x-ray detectors are carefully engineered to resolve the x-ray energies into seven channels using a customized algorithm. Combining machine learning and a comprehensive x-ray attenuation ratio database of common materials enables accurate recognition of low-density biological tissues composed of light elements with similar atomic numbers. By"],"journal":["Science advances"],"pagination":["eadz0228"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12758516"],"repository":["biostudies-literature"],"pubmed_title":["Multienergy x-ray imaging enabled by unipolar perovskite detector for intelligent substance identification."],"pmcid":["PMC12758516"],"pubmed_authors":["Yan S","Liu S","Zhu B","Wei Z","Gao F","Li Y","Wang S","Hussain S","Lei W","Xue L","Ou X","Liu C","Xu X","Zhao J"],"additional_accession":[]},"is_claimable":false,"name":"Multienergy x-ray imaging enabled by unipolar perovskite detector for intelligent substance identification.","description":"A challenge with state-of-the-art projection x-ray imaging technologies is their limited ability to identify unknown substances. Here, we develop an intelligent multienergy x-ray imaging technique capable of precisely distinguishing different substances and labeling them with diverse colors. Our design uses a series of x-ray attenuation coefficient ratios under different x-ray energies as substance-specific markers. For this purpose, unipolar perovskite x-ray detectors are carefully engineered to resolve the x-ray energies into seven channels using a customized algorithm. Combining machine learning and a comprehensive x-ray attenuation ratio database of common materials enables accurate recognition of low-density biological tissues composed of light elements with similar atomic numbers. By","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-06T09:46:34.08Z","creation":"2026-05-28T03:12:18.338Z"},"accession":"S-EPMC12758516","cross_references":{"pubmed":["41481713"],"doi":["10.1126/sciadv.adz0228"]}}