{"doi":"10.1364/boe.427979","title":"Closed-loop wavefront sensing and correction in the mouse brain with computed optical coherence microscopy","abstract":"Optical coherence microscopy (OCM) uses interferometric detection to capture the complex optical field with high sensitivity, which enables computational wavefront retrieval using back-scattered light from the sample. Compared to a conventional wavefront sensor, aberration sensing with OCM via computational adaptive optics (CAO) leverages coherence and confocal gating to obtain signals from the focus with less cross-talk from other depths or transverse locations within the field-of-view. Here, we present an investigation of the performance of CAO-based aberration sensing in simulation, bead phantoms, and ex vivo mouse brain tissue. We demonstrate that, due to the influence of the double-pass confocal OCM imaging geometry on the shape of computed pupil functions, computational sensing of high-order aberrations can suffer from signal attenuation in certain spatial-frequency bands and shape similarity with lower order counterparts. However, by sensing and correcting only low-order aberrations (astigmatism, coma, and trefoil), we still successfully corrected tissue-induced aberrations, leading to 3× increase in OCM signal intensity at a depth of ∼0.9 mm in a freshly dissected ex vivo mouse brain.","journal":"Biomedical Optics Express","year":2021,"id":209493,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9643,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":264518,"name":"Fei Xia","orcid":"0000-0001-6591-8769","position":1,"is_corresponding":false},{"id":264520,"name":"Xusan Yang","orcid":"0000-0001-8429-6299","position":2,"is_corresponding":false},{"id":797128,"name":"Meiqi Wu","orcid":"0000-0001-7305-6302","position":3,"is_corresponding":false},{"id":797129,"name":"Laurie A. Bizimana","orcid":"0000-0001-9024-4620","position":4,"is_corresponding":false},{"id":264522,"name":"Chris Xu","orcid":"0000-0002-3493-6427","position":5,"is_corresponding":false},{"id":325298,"name":"Steven G. Adie","orcid":"0000-0001-6430-6162","position":6,"is_corresponding":false},{"id":731089,"name":"Siyang Liu","orcid":"0000-0001-6498-9901","position":0,"is_corresponding":true}],"reference_count":47,"raw_metadata":null,"created_at":"2026-07-18T23:52:05.171356Z","pmid":"34513234","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":[]}