{"doi":"10.1038/s44172-024-00264-7","title":"Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography","abstract":"Optical coherence tomography (OCT) can be used to image microstructures of human kidneys. However, current OCT probes exhibit inadequate field-of-view, leading to potentially biased kidney assessment. Here we present a robotic OCT system where the probe is integrated to a robot manipulator, enabling wider area (covers an area of 106.39 mm by 37.70 mm) spatially-resolved imaging. Our system comprehensively scans the kidney surface at the optimal altitude with preoperative path planning and OCT image-based feedback control scheme. It further parameterizes and visualizes microstructures of large area. We verified the system positioning accuracy on a phantom as 0.0762 ± 0.0727 mm and showed the clinical feasibility by scanning ex vivo kidneys. The parameterization reveals vasculatures beneath the kidney surface. Quantification on the proximal convoluted tubule of a human kidney yields clinical-relevant information. The system promises to assess kidney viability for transplantation after collecting a vast amount of whole-organ parameterization and patient outcomes data.","journal":"Communications Engineering","year":2024,"id":430462,"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":19,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9614,"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":1173347,"name":"Mousa Moradi","orcid":"0000-0002-0020-7365","position":1,"is_corresponding":false},{"id":287823,"name":"Xiaoyu Ma","orcid":"0000-0001-7673-7533","position":2,"is_corresponding":false},{"id":514860,"name":"Qinggong Tang","orcid":"0000-0001-9499-5384","position":3,"is_corresponding":false},{"id":281043,"name":"Moshe Levi","orcid":"0000-0001-6403-2261","position":4,"is_corresponding":false},{"id":724839,"name":"Yu Chen","orcid":"0000-0003-3892-7664","position":5,"is_corresponding":false},{"id":377269,"name":"Haichong K. Zhang","orcid":"0000-0002-1314-8456","position":6,"is_corresponding":false},{"id":804248,"name":"Xihan Ma","orcid":"0000-0003-1007-0910","position":0,"is_corresponding":true}],"reference_count":62,"raw_metadata":null,"created_at":"2026-07-19T01:59:16.092672Z","pmid":"39223332","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":[]}