{"doi":"10.1073/pnas.2123111119","title":"High-precision tumor resection down to few-cell level guided by NIR-IIb molecular fluorescence imaging","abstract":"In vivo fluorescence/luminescence imaging in the near-infrared-IIb (NIR-IIb, 1,500 to 1,700 nm) window under <1,000 nm excitation can afford subcentimeter imaging depth without any tissue autofluorescence, promising high-precision intraoperative navigation in the clinic. Here, we developed a compact imager for concurrent visible photographic and NIR-II (1,000 to 3,000 nm) fluorescence imaging for preclinical image-guided surgery. Biocompatible erbium-based rare-earth nanoparticles (ErNPs) with bright down-conversion luminescence in the NIR-IIb window were conjugated to TRC105 antibody for molecular imaging of CD105 angiogenesis markers in 4T1 murine breast tumors. Under a ∼940 ± 38 nm light-emitting diode (LED) excitation, NIR-IIb imaging of 1,500- to 1,700-nm emission afforded noninvasive tumor–to–normal tissue (T/NT) signal ratios of ∼40 before surgery and an ultrahigh intraoperative tumor-to-muscle (T/M) ratio of ∼300, resolving tumor margin unambiguously without interfering background signal from surrounding healthy tissues. High-resolution imaging resolved small numbers of residual cancer cells during surgery, allowing thorough and nonexcessive tumor removal at the few-cell level. NIR-IIb molecular imaging afforded 10-times-higher and 100-times-higher T/NT and T/M ratios, respectively, than imaging with IRDye800CW-TRC105 in the ∼900- to 1,300-nm range. The vastly improved resolution of tumor margin and diminished background open a paradigm of molecular imaging-guided surgery.","journal":"Proceedings of the National Academy of Sciences","year":2022,"id":234522,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":96,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9526,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":289665,"name":"Liangqiong Qu","orcid":"0000-0001-8235-7852","position":1,"is_corresponding":false},{"id":347672,"name":"Fuqiang Ren","orcid":"0000-0003-3922-5840","position":2,"is_corresponding":false},{"id":811445,"name":"Ani Baghdasaryan","orcid":"0000-0003-1324-5683","position":3,"is_corresponding":false},{"id":850602,"name":"Yingying Jiang","orcid":"0009-0006-4589-8207","position":4,"is_corresponding":false},{"id":851818,"name":"Ru‐Siou Hsu","orcid":null,"position":5,"is_corresponding":false},{"id":597371,"name":"Peng Liang","orcid":"0000-0001-9107-6323","position":6,"is_corresponding":false},{"id":347670,"name":"Jiachen Li","orcid":"0000-0001-8311-4043","position":7,"is_corresponding":false},{"id":850603,"name":"Guanzhou Zhu","orcid":"0000-0001-8829-4776","position":8,"is_corresponding":false},{"id":267720,"name":"Zhuoran Ma","orcid":"0000-0002-1520-2129","position":9,"is_corresponding":false},{"id":267724,"name":"Hongjie Dai","orcid":"0000-0002-4906-4502","position":10,"is_corresponding":false},{"id":267721,"name":"Feifei Wang","orcid":"0000-0001-7687-3412","position":0,"is_corresponding":true}],"reference_count":62,"raw_metadata":null,"created_at":"2026-07-19T00:21:42.662304Z","pmid":"35380898","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":[]}