{"doi":"10.1364/opticaopen.23954775","title":"Dual-channel air-pulse optical coherence elastography for frequency response analysis","abstract":"Microliter air-pulse stimulated optical coherence elastography (OCE) was recently proposed for tissue biomechanical characterization using natural frequency oscillations. However, previous studies have not quantified actual stimulation parameters (e.g. time-frequency analysis), obscuring the actual stimulation-response function, leading to potential errors in natural frequency measurement. We propose a dual-channel air-pulse OCE method with one channel stimulating the sample and the other simultaneously measured with a pressure sensor. While pressure amplitude differences were ~10%, the frequency profiles were identical (duration: 3–35 ms; pressure: 20 Pa to 2 kPa) for both channels. The frequency response function was used to characterize the resonant features of agar phantoms (concentrations: 1–2%) and a silicone cornea phantom in an artificial anterior chamber eye model (intraocular pressure, IOP: 5–40 mmHg) under a 200 Pa stimulation pressure. The measured dominant natural frequencies increased with agar concentrations (181 Hz to 359 Hz, maximum displacements: 0.14–0.47 µm) and IOPs for the silicone cornea (333 Hz to 412 Hz, maximum displacements: 0.41–0.52 µm). These frequencies were consistent across different air–pulse durations, though coefficient variation increased as stimulus duration increased. The dual-channel OCE approach, using low-pressure stimulation and small-amplitude oscillation features, can advance our understanding of sample frequency responses when accessing delicate tissues, such as the human cornea in vivo.","journal":null,"year":2023,"id":410396,"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":0.965,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"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":1190407,"name":"Chengjin Song","orcid":"0009-0009-0183-9821","position":1,"is_corresponding":false},{"id":1190408,"name":"Weichao He","orcid":"0000-0002-0632-4490","position":2,"is_corresponding":false},{"id":922110,"name":"Jinping Feng","orcid":null,"position":3,"is_corresponding":false},{"id":921559,"name":"Yanping Huang","orcid":"0000-0002-4430-3965","position":4,"is_corresponding":false},{"id":1190409,"name":"Jia Qin","orcid":"0000-0002-2174-7475","position":5,"is_corresponding":false},{"id":323003,"name":"Lin An","orcid":"0000-0002-8313-0796","position":6,"is_corresponding":false},{"id":321175,"name":"Michael D. Twa","orcid":"0000-0003-4544-5153","position":7,"is_corresponding":false},{"id":921561,"name":"Jingjiang Xu","orcid":"0000-0002-0016-5791","position":8,"is_corresponding":false},{"id":1190722,"name":"Lan Gongpu","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:21:35.071397Z","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":[]}