{"doi":"10.3389/fnins.2022.835773","title":"Deep Learning and Simulation for the Estimation of Red Blood Cell Flux With Optical Coherence Tomography","abstract":"We present a deep learning and simulation-based method to measure cortical capillary red blood cell (RBC) flux using Optical Coherence Tomography (OCT). This method is more accurate than the traditional peak-counting method and avoids any user parametrization, such as a threshold choice. We used data that was simultaneously acquired using OCT and two-photon microscopy to uncover the distribution of parameters governing the height, width, and inter-peak time of peaks in OCT intensity associated with the passage of RBCs. This allowed us to simulate thousands of time-series examples for different flux values and signal-to-noise ratios, which we then used to train a 1D convolutional neural network (CNN). The trained CNN enabled robust measurement of RBC flux across the entire network of hundreds of capillaries.","journal":"Frontiers in Neuroscience","year":2022,"id":295000,"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":0.9538,"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":849888,"name":"Anna Kim","orcid":"0000-0002-2953-8811","position":1,"is_corresponding":false},{"id":980683,"name":"Paul J. Marchand","orcid":"0000-0003-2528-3193","position":2,"is_corresponding":false},{"id":374500,"name":"Frédéric Lesage","orcid":"0000-0003-3699-1283","position":3,"is_corresponding":false},{"id":980684,"name":"Jong‐Hwan Lee","orcid":"0000-0002-5354-0233","position":4,"is_corresponding":false},{"id":980682,"name":"Sabina Ştefan","orcid":"0000-0002-4820-0197","position":0,"is_corresponding":true}],"reference_count":23,"raw_metadata":null,"created_at":"2026-07-19T00:31:05.260069Z","pmid":"35250467","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":[]}