{"doi":"10.1073/pnas.2310131120","title":"In vivo three-dimensional brain imaging with chemiluminescence probes in Alzheimer’s disease models","abstract":"Optical three-dimensional (3D) molecular imaging is highly desirable for providing precise distribution of the target-of-interest in disease models. However, such 3D imaging is still far from wide applications in biomedical research; 3D brain optical molecular imaging, in particular, has rarely been reported. In this report, we designed chemiluminescence probes with high quantum yields, relatively long emission wavelengths, and high signal-to-noise ratios to fulfill the requirements for 3D brain imaging in vivo. With assistance from density-function theory (DFT) computation, we designed ADLumin-Xs by locking up the rotation of the double bond via fusing the furan ring to the phenyl ring. Our results showed that ADLumin-5 had a high quantum yield of chemiluminescence and could bind to amyloid beta (Aβ). Remarkably, ADLumin-5’s radiance intensity in brain areas could reach 4 × 10 7 photon/s/cm 2 /sr, which is probably 100-fold higher than most chemiluminescence probes for in vivo imaging. Because of its strong emission, we demonstrated that ADLumin-5 could be used for in vivo 3D brain imaging in transgenic mouse models of Alzheimer’s disease.","journal":"Proceedings of the National Academy of Sciences","year":2023,"id":324487,"datarank":0.5333022092234121,"base_score":3.5553480614894135,"endowment":3.5553480614894135,"self_citation_contribution":0.5333022092234121,"citation_network_contribution":0.0,"self_endowment_contribution":0.5333022092234121,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":34,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9606,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":832406,"name":"Carly Wickizer","orcid":"0000-0003-3166-1381","position":1,"is_corresponding":false},{"id":687652,"name":"Weihua Ding","orcid":"0000-0001-8840-2917","position":2,"is_corresponding":false},{"id":270754,"name":"Richard Van","orcid":"0000-0002-0185-9277","position":3,"is_corresponding":false},{"id":687653,"name":"Liuyue Yang","orcid":"0000-0002-2372-4410","position":4,"is_corresponding":false},{"id":270758,"name":"Biyue Zhu","orcid":"0000-0002-7367-7421","position":5,"is_corresponding":false},{"id":1040641,"name":"Jun Yang","orcid":"0000-0002-0581-6573","position":6,"is_corresponding":false},{"id":437274,"name":"Yanli Wang","orcid":"0000-0002-7576-3235","position":7,"is_corresponding":false},{"id":1041180,"name":"Yongle Wang","orcid":"0009-0001-7108-3902","position":8,"is_corresponding":false},{"id":426549,"name":"Yulong Xu","orcid":"0000-0001-9024-7311","position":9,"is_corresponding":false},{"id":270760,"name":"Can Zhang","orcid":"0000-0002-4340-5118","position":10,"is_corresponding":false},{"id":663248,"name":"Shiqian Shen","orcid":"0000-0003-0062-6831","position":11,"is_corresponding":false},{"id":329739,"name":"Changning Wang","orcid":"0000-0002-2076-4193","position":12,"is_corresponding":false},{"id":270761,"name":"Yihan Shao","orcid":"0000-0001-9337-341X","position":13,"is_corresponding":false},{"id":270762,"name":"Chongzhao Ran","orcid":"0000-0002-3892-4108","position":14,"is_corresponding":false},{"id":1040640,"name":"Jing Zhang","orcid":"0009-0004-8235-8838","position":0,"is_corresponding":true}],"reference_count":85,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:08:11.275604Z","pmid":"38048460","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}