{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001366916,0.0001478473,0.0001437793,0.00007632395,0.00003047901,0.000007934148,0.0002271452,0.00006814425,0.00002530754],"category_scores_gemma":[0.00002195487,0.000162057,0.00005668611,0.0000741465,0.0001851699,0.000009120999,0.0000998981,0.00009845942,0.000002845272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002010279,"about_ca_system_score_gemma":0.0000129789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009595283,"about_ca_topic_score_gemma":0.0000214484,"domain_scores_codex":[0.9991357,0.00003376057,0.0002422677,0.0002827861,0.00005513721,0.0002502992],"domain_scores_gemma":[0.9994773,0.000005365337,0.0001039985,0.0003431125,0.00003428707,0.00003592743],"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":[0.00003559234,0.000046387,0.007812012,0.00001517418,0.000006753996,0.00001160333,0.0001611657,0.000005608822,0.990582,0.00003186524,0.001250228,0.0000416386],"study_design_scores_gemma":[0.0002938783,0.00005307261,0.0007619411,0.00003199278,0.000004347944,0.000003450491,0.00003336387,0.00002877712,0.9979538,0.00005317817,0.0006124801,0.0001697208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847665,0.00006118332,0.01426471,0.00007482889,0.00007411192,0.0001762675,0.00001167394,0.00001512077,0.0005556327],"genre_scores_gemma":[0.8511537,0.00005052187,0.1472148,0.001369372,0.00004351514,0.00002038038,0.00001391757,0.00003855612,0.00009523967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1336128,"threshold_uncertainty_score":0.6608493,"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."}}