{"id":"W2055826616","doi":"10.1364/ol.36.002865","title":"In vivo video rate multiphoton microscopy imaging of human skin","year":2011,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia; BC Cancer Agency","funders":"BC Cancer Agency; Canadian Institutes of Health Research; VGH and UBC Hospital Foundation; Canadian Dermatology Foundation","keywords":"Reticular Dermis; Optics; Microscopy; Human skin; Frame rate; Pixel; Materials science; Two-photon excitation microscopy; Image resolution; Preclinical imaging; Second-harmonic generation; Fluorescence-lifetime imaging microscopy; Biomedical engineering; Fluorescence; In vivo; Laser; Dermis; Physics; Medicine; Pathology","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":[0.0002038489,0.0002629393,0.0001684536,0.0001798422,0.0001668763,0.0001421175,0.000271317,0.0004041082,0.002004392],"category_scores_gemma":[0.0001617938,0.0001733736,0.0001158794,0.00009434918,0.0001331907,0.0001999515,0.0001476625,0.0003386887,0.0003376562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270029,"about_ca_system_score_gemma":0.0001179473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003326947,"about_ca_topic_score_gemma":0.000296316,"domain_scores_codex":[0.9999241,0.00001882751,0.000002988457,0.00002519452,0.00001581446,0.0000131293],"domain_scores_gemma":[0.999936,0.0000295594,0.000008768268,0.0000108032,0.000007463722,0.000007333327],"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":[0.00004874211,0.00002051367,0.00003587186,0.00002257726,0.000001313969,0.00004059403,0.000009809442,0.0001330059,0.9977284,0.00005288545,0.00004460491,0.001861694],"study_design_scores_gemma":[0.00002644001,0.0006958728,0.004330237,0.00001006878,0.00001261899,0.001254784,0.00002661482,0.004725207,0.9851353,0.0001317789,0.003642251,0.000008960005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8457778,0.003237028,0.1433619,0.0003079834,0.00009015662,0.0001992612,0.0004973133,0.0004405892,0.00608799],"genre_scores_gemma":[0.88394,0.002415896,0.106372,0.0001390887,0.00004742873,0.0001780873,0.0003023289,0.00008356055,0.006521576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002004392,"threshold_uncertainty_score":0.006705344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008732062008579497,"score_gpt":0.2733237423935331,"score_spread":0.2645916803849536,"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."}}