{"doi":"10.1364/oe.510640","title":"Visualizing features with wide-field volumetric OCT angiography","abstract":"Optical coherence tomography (OCT) and its extension OCT angiography (OCTA) have become essential clinical imaging modalities due to their ability to provide depth-resolved angiographic and tissue structural information non-invasively and at high resolution. Within a field of view, the anatomic detail available is sufficient to identify several structural and vascular pathologies that are clinically relevant for multiple prevalent blinding diseases, including age-related macular degeneration (AMD), diabetic retinopathy (DR), and vein occlusions. The main limitation in contemporary OCT devices is that this field of view is limited due to a fundamental trade-off between system resolution/sensitivity, sampling density, and imaging window dimensions. Here, we describe a swept-source OCT device that can capture up to a 12 × 23-mm field of view in a single shot and show that it can identify conventional pathologic features such as non-perfusion areas outside of conventional fields of view. We also show that our approach maintains sensitivity sufficient to visualize novel features, including choriocapillaris morphology beneath the macula and macrophage-like cells at the inner limiting membrane, both of which may have implications for disease.","journal":"Optics Express","year":2024,"id":452575,"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":11,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9578,"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":889675,"name":"Guangru B. Liang","orcid":"0000-0002-6322-3899","position":1,"is_corresponding":false},{"id":471406,"name":"Xiang Wei","orcid":"0000-0002-4794-6018","position":2,"is_corresponding":false},{"id":295375,"name":"Yukun Guo","orcid":"0000-0002-6784-2355","position":3,"is_corresponding":false},{"id":305302,"name":"Min Gao","orcid":"0000-0002-0344-0162","position":4,"is_corresponding":false},{"id":288602,"name":"Jie Wang","orcid":"0000-0003-3417-3703","position":5,"is_corresponding":false},{"id":418220,"name":"David Huang","orcid":"0000-0003-2592-8393","position":6,"is_corresponding":false},{"id":295377,"name":"Steven T. Bailey","orcid":"0000-0003-4949-1464","position":7,"is_corresponding":false},{"id":288603,"name":"Thomas S. Hwang","orcid":"0000-0002-0535-4823","position":8,"is_corresponding":false},{"id":288604,"name":"Yali Jia","orcid":"0000-0002-2784-1905","position":9,"is_corresponding":false},{"id":288601,"name":"Tristan T. Hormel","orcid":"0000-0002-7242-1934","position":0,"is_corresponding":true}],"reference_count":100,"raw_metadata":null,"created_at":"2026-07-19T02:02:54.415477Z","pmid":"38571248","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":[]}