{"doi":"10.1126/sciadv.adg4671","title":"NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media","abstract":"Diffraction-limited optical imaging through scattering media has the potential to transform many applications such as airborne and space-based imaging (through the atmosphere), bioimaging (through skin and human tissue), and fiber-based imaging (through fiber bundles). Existing wavefront shaping methods can image through scattering media and other obscurants by optically correcting wavefront aberrations using high-resolution spatial light modulators-but these methods generally require (i) guidestars, (ii) controlled illumination, (iii) point scanning, and/or (iv) statics scenes and aberrations. We propose neural wavefront shaping (NeuWS), a scanning-free wavefront shaping technique that integrates maximum likelihood estimation, measurement modulation, and neural signal representations to reconstruct diffraction-limited images through strong static and dynamic scattering media without guidestars, sparse targets, controlled illumination, nor specialized image sensors. We experimentally demonstrate guidestar-free, wide field-of-view, high-resolution, diffraction-limited imaging of extended, nonsparse, and static/dynamic scenes captured through static/dynamic aberrations.","journal":"Science Advances","year":2023,"id":317758,"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":73,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9574,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"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":1023991,"name":"Haiyun Guo","orcid":"0000-0001-6774-0298","position":1,"is_corresponding":false},{"id":1023992,"name":"Mingyang Xie","orcid":"0009-0000-9405-7937","position":2,"is_corresponding":false},{"id":254312,"name":"Vivek Boominathan","orcid":"0000-0003-4875-3135","position":3,"is_corresponding":false},{"id":1023993,"name":"Manoj Kumar Sharma","orcid":"0000-0003-2362-1048","position":4,"is_corresponding":false},{"id":254314,"name":"Ashok Veeraraghavan","orcid":"0000-0001-5043-7460","position":5,"is_corresponding":false},{"id":961247,"name":"Christopher A. Metzler","orcid":"0000-0001-6827-7207","position":6,"is_corresponding":false},{"id":805219,"name":"Brandon Y. Feng","orcid":"0000-0001-7003-9128","position":0,"is_corresponding":true}],"reference_count":67,"raw_metadata":null,"created_at":"2026-07-19T01:06:55.884740Z","pmid":"37379386","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":[]}