{"id":"W3217055566","doi":"10.1364/boe.443751","title":"Fast hybrid optomechanical scanning photoacoustic remote sensing microscopy for virtual histology","year":2021,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Galvanometer; H&E stain; Microscopy; Histology; Biomedical engineering; Photoacoustic imaging in biomedicine; Materials science; Staining; Pathology; Medicine; Optics; Physics; Laser","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006411689,0.0004184684,0.0002574746,0.000479688,0.0001813733,0.0005852077,0.0008611164,0.0005488489,0.003990532],"category_scores_gemma":[0.0005363357,0.0004631611,0.000257775,0.000263162,0.0004623259,0.0007873526,0.001174356,0.0005678905,0.001095586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002647356,"about_ca_system_score_gemma":0.0002668203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002621403,"about_ca_topic_score_gemma":0.0008741291,"domain_scores_codex":[0.9994135,0.00009505125,0.00001716719,0.00009379831,0.0003330339,0.00004756133],"domain_scores_gemma":[0.9994547,0.000260311,0.00006740916,0.0001214265,0.00006616974,0.00002998801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008272889,0.00002581873,0.0003999995,0.00008956803,0.000013918,0.0000732458,0.00004147036,0.001692892,0.9667341,0.00171817,0.0006589991,0.02846903],"study_design_scores_gemma":[0.00005914694,0.000732148,0.005679065,0.00002935274,0.00002998627,0.001991149,0.00009746689,0.1125251,0.856032,0.002760914,0.01991106,0.0001526804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2005165,0.001236753,0.7874236,0.000391883,0.0002180595,0.0001752631,0.0002512829,0.003199685,0.006586995],"genre_scores_gemma":[0.482088,0.0006478973,0.5103585,0.0002873879,0.0000758059,0.000274652,0.0001973676,0.0001927515,0.005877574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003990532,"threshold_uncertainty_score":0.01334965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009751840615166577,"score_gpt":0.2495141120083208,"score_spread":0.2397622713931543,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}