{"id":"W2970579428","doi":"10.1364/boe.10.004859","title":"Non-invasive cellular-resolution retinal imaging with two-photon excited fluorescence","year":2019,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fondation pour la Recherche sur Alzheimer; Michael Smith Health Research BC; Genome British Columbia; Canadian Institutes of Health Research; British Columbia Innovation Council; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Optical coherence tomography; Retina; Retinal pigment epithelium; Optics; Adaptive optics; Fluorescence-lifetime imaging microscopy; Fluorescence; Retinal; Microscopy; Materials science; Two-photon excitation microscopy; Preclinical imaging; Resolution (logic); Physics; Medicine; In vivo; Biology; Ophthalmology; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001797563,0.0002982446,0.0002383232,0.00009345067,0.00009056822,0.00004617358,0.000474926,0.0001868094,0.00004211116],"category_scores_gemma":[0.00007249042,0.0002596482,0.00007682264,0.0002062158,0.000505397,0.00001672688,0.0002713388,0.0002454898,0.00004208411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004814752,"about_ca_system_score_gemma":0.0001444996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002625819,"about_ca_topic_score_gemma":0.000002607744,"domain_scores_codex":[0.9979993,0.00004211511,0.0003010642,0.0006980994,0.0004109243,0.0005485291],"domain_scores_gemma":[0.9987557,0.00002411529,0.0001441934,0.0006706609,0.0001769697,0.0002283795],"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":[0.0002202192,0.00009604701,0.002495275,0.00005047992,0.00001784806,0.00003760676,0.00003954967,0.00002291139,0.9956414,0.00009171822,0.0009311163,0.0003558036],"study_design_scores_gemma":[0.001009236,0.0004801762,0.0002717005,0.0002311327,0.0000184415,0.00003729167,0.00006816263,0.003147703,0.9879417,0.00005603774,0.006335883,0.0004025678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.703106,0.0002184115,0.2944086,0.0001506738,0.0002648467,0.0007081254,0.0000407905,0.0001065115,0.0009960289],"genre_scores_gemma":[0.8580827,0.0001022603,0.1404109,0.0002107284,0.0002598971,0.00005661966,0.0003575688,0.0000611622,0.0004581331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549767,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004608286218921978,"score_gpt":0.2446108573751874,"score_spread":0.2400025711562654,"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."}}