{"doi":"10.3788/aos222137","title":"共聚焦激光显微内窥成像中PMT与APD探测器性能对比分析","abstract":null,"journal":"Acta Optica Sinica","year":2023,"id":648807,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":21.9,"corpus_rank":9884,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1691071,"name":"徐宝腾 Xu Baoteng","orcid":null,"position":1,"is_corresponding":false},{"id":1691072,"name":"周伟 Zhou Wei","orcid":null,"position":2,"is_corresponding":false},{"id":1691073,"name":"刘家林 Liu Jialin","orcid":null,"position":3,"is_corresponding":false},{"id":1691074,"name":"郭立泉 Guo Liquan","orcid":null,"position":4,"is_corresponding":false},{"id":1691075,"name":"杨西斌 Yang Xibin","orcid":null,"position":5,"is_corresponding":false},{"id":1691069,"name":"侯冠廷 Hou Guanting","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"共聚焦激光显微内窥成像中PMT与APD探测器性能对比分析","abstract":"共聚焦激光显微内窥镜（CLE）可以进行在体组织显微成像，实现实时病理学诊断，而光电探测器作为CLE系统的核心部件，影响共聚焦图像质量。对比分析光电倍增管（PMT）和雪崩光电二极管（APD）在CLE中的性能表现，建立基于PMT和APD探测电路的CLE成像信号信噪比分析模型，理论分析光电探测器及其放大电路噪声、放大增益、输入光信号等参数对成像信号信噪比的影响。搭建基于PMT和APD双光路探测系统，对均匀荧光溶液和组织样品进行成像。研究结果表明，当样品荧光功率大于10 nW时，所选取PMTSS与APD120A2的输出图像质量接近，信噪比相差小于0.67 dB，APD以更高的性价比实现与PMT相当的成像性能。","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19965766","pmcid":null,"openalex_id":"https://openalex.org/W4381516047","authors":[],"funders":[],"total_grants":0,"fwci":0.2079,"citation_percentile":0.56020817,"influential_citations":0,"citation_trend":[{"year":2025,"count":1}],"oa_status":"bronze","license":null,"oa_locations":[{"url":"https://www.opticsjournal.net/Articles/GetArticlePDF/OJ579bc1bfe0b28e0b","host_type":"journal"},{"url":"https://www.opticsjournal.net/Articles/GetArticlePDF/OJ579bc1bfe0b28e0b","host_type":"publisher"},{"url":"http://www.opticsjournal.net/Articles/GetArticlePDF/OJ579bc1bfe0b28e0b","host_type":"publisher"},{"url":"https://doi.org/10.3788/aos222137","host_type":"journal"}],"fields_of_study":["Radiomics and Machine Learning in Medical Imaging","Colorectal Cancer Surgical Treatments","Colorectal Cancer Screening and Detection"],"mesh_terms":[],"keywords":["Computer science"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T02:59:43.511679Z","pmid":null,"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":[]}