{"doi":"10.1364/oe.478314","title":"Overcoming the field-of-view to diameter trade-off in microendoscopy via computational optrode-array microscopy","abstract":"High-resolution microscopy of deep tissue with large field-of-view (FOV) is critical for elucidating organization of cellular structures in plant biology. Microscopy with an implanted probe offers an effective solution. However, there exists a fundamental trade-off between the FOV and probe diameter arising from aberrations inherent in conventional imaging optics (typically, FOV < 30% of diameter). Here, we demonstrate the use of microfabricated non-imaging probes (optrodes) that when combined with a trained machine-learning algorithm is able to achieve FOV of 1x to 5x the probe diameter. Further increase in FOV is achieved by using multiple optrodes in parallel. With a 1 × 2 optrode array, we demonstrate imaging of fluorescent beads (including 30 FPS video), stained plant stem sections and stained living stems. Our demonstration lays the foundation for fast, high-resolution microscopy with large FOV in deep tissue via microfabricated non-imaging probes and advanced machine learning.","journal":"Optics Express","year":2022,"id":293493,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9564,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":978195,"name":"Reed Sorenson","orcid":"0000-0001-8650-0601","position":1,"is_corresponding":false},{"id":978571,"name":"Robert Scharf","orcid":null,"position":2,"is_corresponding":false},{"id":978572,"name":"Austin Koch","orcid":null,"position":3,"is_corresponding":false},{"id":978196,"name":"Andrew Groover","orcid":"0000-0002-6686-5774","position":4,"is_corresponding":false},{"id":978197,"name":"Leslie Sieburth","orcid":"0000-0001-6691-2000","position":5,"is_corresponding":false},{"id":978198,"name":"Steve Blair","orcid":"0000-0001-5784-590X","position":6,"is_corresponding":false},{"id":518138,"name":"Rajesh Menon","orcid":"0000-0002-4777-376X","position":7,"is_corresponding":false},{"id":518137,"name":"Ruipeng Guo","orcid":"0000-0003-1963-0080","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T00:30:53.818562Z","pmid":"36859879","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":[]}