{"id":"W2996667552","doi":"10.1364/ol.45.000069","title":"Multiplexed confocal microscope with a refraction window scanner and a single-photon avalanche photodiode array detector","year":2019,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Centres of Excellence","keywords":"Optics; Avalanche photodiode; Confocal; Detector; Microscope; Photon counting; Window (computing); Scanner; Photodiode; Single-photon avalanche diode; Confocal microscopy; Multiplexing; Materials science; Physics","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":[0.001266116,0.001724279,0.001129061,0.001900357,0.001061584,0.0008602229,0.002376867,0.001259157,0.0142791],"category_scores_gemma":[0.0005391391,0.001291077,0.0007455077,0.00116399,0.0006174233,0.0012761,0.001449004,0.001610555,0.004833326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181608,"about_ca_system_score_gemma":0.001419732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038888,"about_ca_topic_score_gemma":0.00230051,"domain_scores_codex":[0.9986734,0.0001120374,0.00008407867,0.0006249326,0.0004019575,0.0001036143],"domain_scores_gemma":[0.9994718,0.0001417364,0.0000532049,0.0001219555,0.0001214594,0.00008980472],"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":[0.0001333165,0.00006458085,0.0002693994,0.0001160757,0.00003871499,0.0001025646,0.00003693573,0.0003537084,0.9792565,0.00223721,0.001432254,0.01595867],"study_design_scores_gemma":[0.0001142148,0.0003704689,0.001651761,0.00001641191,0.0001211616,0.001514608,0.0000217265,0.02568138,0.9320605,0.001104903,0.03722551,0.0001172888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06925239,0.0009951134,0.9113314,0.0002320947,0.0003116864,0.000592345,0.001418435,0.008930418,0.006936207],"genre_scores_gemma":[0.0649617,0.0006183559,0.9222642,0.0001452185,0.00009675277,0.001332794,0.001054253,0.0003032096,0.009223512],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0142791,"threshold_uncertainty_score":0.04776835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004667190620064819,"score_gpt":0.2169775672091579,"score_spread":0.212310376589093,"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."}}