{"doi":"10.1063/10.0009031","title":"Machine learning method puts the “super” in super-resolution spectroscopy","abstract":"<jats:p>Deep learning network improves feature resolution of infrared imaging method twofold.</jats:p>","journal":"Scilight","year":2021,"id":648044,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"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":1688625,"name":"Alane Lim","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Machine learning method puts the “super” in super-resolution spectroscopy","abstract":"<jats:p>Deep learning network improves feature resolution of infrared imaging method twofold.</jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19162232","pmcid":null,"openalex_id":"https://openalex.org/W3216672236","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.08893244,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://pubs.aip.org/aip/sci/article-pdf/doi/10.1063/10.0009031/11642627/491108_1_online.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1063/10.0009031","host_type":"journal"}],"fields_of_study":["Spectroscopy Techniques in Biomedical and Chemical Research","Optical Imaging and Spectroscopy Techniques","Photoacoustic and Ultrasonic Imaging"],"mesh_terms":[],"keywords":["Superresolution","Feature (linguistics)","Artificial intelligence","Spectroscopy","Resolution (logic)","Deep learning","Computer science","Infrared","Pattern recognition (psychology)","Low resolution","High resolution","Physics","Optics","Geology","Remote sensing","Image (mathematics)","Philosophy","Astronomy"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T02:10:10.408486Z","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":[]}