{"doi":"10.1063/5.0225616","title":"Mid-infrared hyperspectral microscopy with broadband 1-GHz dual frequency combs","abstract":"Mid-infrared microscopy is an important tool for biological analyses, allowing a direct probe of molecular bonds in their low energy landscape. In addition to the label-free extraction of spectroscopic information, the application of broadband sources can provide a third dimension of chemical specificity. However, to enable widespread deployment, mid-infrared microscopy platforms need to be compact and robust while offering high speed, broad bandwidth, and high signal-to-noise ratio. In this study, we experimentally showcase the integration of a broadband, high-repetition-rate dual-comb spectrometer (DCS) in the mid-infrared range with a scanning microscope. We employ a set of 1-GHz mid-infrared frequency combs, demonstrating their capability for high-speed and broadband hyperspectral imaging of polymers and ovarian tissue. The system covers 1000 cm−1 at νc = 2941 cm−1 with 12.86 kHz spectra acquisition rate and 5 µm spatial resolution. Taken together, our experiments and analysis elucidate the trade-off between bandwidth and speed in DCS as it relates to microscopy. This provides a roadmap for the future advancement and application of high-repetition-rate DCS hyperspectral imaging.","journal":"APL Photonics","year":2024,"id":427547,"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":15,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9503,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1225814,"name":"Ragib Ishrak","orcid":null,"position":1,"is_corresponding":false},{"id":1228221,"name":"Nazanin Hoghooghi","orcid":"0000-0001-9206-2003","position":2,"is_corresponding":false},{"id":1228222,"name":"Scott C. Egbert","orcid":"0000-0002-9745-6869","position":3,"is_corresponding":false},{"id":1228223,"name":"Daniel Lesko","orcid":"0000-0002-8573-8295","position":4,"is_corresponding":false},{"id":1228224,"name":"Stephanie Swartz","orcid":"0000-0003-0758-6393","position":5,"is_corresponding":false},{"id":1228225,"name":"Jens Biegert","orcid":"0000-0002-7556-501X","position":6,"is_corresponding":false},{"id":1228226,"name":"Gregory B. Rieker","orcid":"0000-0003-0762-7896","position":7,"is_corresponding":false},{"id":590418,"name":"Rohith Reddy","orcid":"0000-0002-4403-5614","position":8,"is_corresponding":false},{"id":1228227,"name":"Scott A. Diddams","orcid":"0000-0002-2144-0764","position":9,"is_corresponding":false},{"id":1228220,"name":"Peter Chang","orcid":"0000-0001-8713-5079","position":0,"is_corresponding":true}],"reference_count":56,"raw_metadata":null,"created_at":"2026-07-19T01:58:52.576447Z","pmid":"40822026","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":[]}