{"doi":"10.1101/2024.04.16.589730","title":"Bessel Beam Optical Coherence Microscopy Enables Multiscale Assessment of Cerebrovascular Network Morphology and Function","abstract":"Abstract Understanding the morphology and function of large-scale cerebrovascular networks is crucial for studying brain health and disease. However, reconciling the demands for imaging on a broad scale with the precision of high-resolution volumetric microscopy has been a persistent challenge. In this study, we introduce Bessel beam optical coherence microscopy with an extended focus to capture the full cortical vascular hierarchy in mice over 1000 × 1000 × 360 μm 3 field-of-view at capillary level resolution. The post-processing pipeline leverages a supervised deep learning approach for precise 3D segmentation of high-resolution angiograms, hence permitting reliable examination of microvascular structures at multiple spatial scales. Coupled with high-sensitivity Doppler optical coherence tomography, our method enables the computation of both axial and transverse blood velocity components as well as vessel-specific blood flow direction, facilitating a detailed assessment of morpho-functional characteristics across all vessel dimensions. Through graph-based analysis, we deliver insights into vascular connectivity, all the way from individual capillaries to broader network interactions, a task traditionally challenging for in vivo studies. The new imaging and analysis framework extends the frontiers of research into cerebrovascular function and neurovascular pathologies.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2024,"id":490729,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9591,"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":1225117,"name":"Bastian Wittmann","orcid":"0000-0002-6308-2926","position":1,"is_corresponding":false},{"id":894951,"name":"Jeanne Droux","orcid":"0009-0008-7711-6673","position":2,"is_corresponding":false},{"id":894950,"name":"Chaim Glück","orcid":"0000-0002-8754-9965","position":3,"is_corresponding":false},{"id":846672,"name":"Bruno Weber","orcid":"0000-0002-9089-0689","position":4,"is_corresponding":false},{"id":849178,"name":"Susanne Wegener","orcid":"0000-0003-4369-7023","position":5,"is_corresponding":false},{"id":894949,"name":"Mohamad El Amki","orcid":"0000-0003-1245-5283","position":6,"is_corresponding":false},{"id":355331,"name":"Rainer A. Leitgeb","orcid":"0000-0002-0131-4111","position":7,"is_corresponding":false},{"id":51419,"name":"Bjoern Menze","orcid":"0000-0003-4136-5690","position":8,"is_corresponding":false},{"id":499576,"name":"Daniel Razansky","orcid":"0000-0001-8676-0964","position":9,"is_corresponding":false},{"id":1222705,"name":"Lukas Glandorf","orcid":"0000-0003-4968-2906","position":0,"is_corresponding":true}],"reference_count":48,"raw_metadata":null,"created_at":"2026-07-19T02:08:37.162700Z","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":[]}