{"id":"W3035829956","doi":"10.1109/jstqe.2020.2997834","title":"Highly Multiplexed Confocal Fluorescence Lifetime Microscope Designed for Screening Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Quantum Electronics","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; McMaster University","funders":"Canada Research Chairs","keywords":"Förster resonance energy transfer; Confocal; Microscope; Confocal microscopy; Fluorescence-lifetime imaging microscopy; Multiplexing; Fluorescence; Fluorescence microscope; Materials science; Microscopy; Avalanche photodiode; Photodiode; Optoelectronics; Optics; Physics; Computer science; Detector","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":[0.0008516431,0.0009472282,0.0007635811,0.0005912407,0.000420268,0.0004561613,0.001346201,0.001080491,0.004551709],"category_scores_gemma":[0.0004971765,0.000490403,0.0003586033,0.0003876616,0.0003536031,0.0006986464,0.0004349505,0.00100036,0.001866063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000904451,"about_ca_system_score_gemma":0.0007312709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005490033,"about_ca_topic_score_gemma":0.001051605,"domain_scores_codex":[0.9993302,0.0000828491,0.00003423306,0.0002518814,0.0002276414,0.00007332468],"domain_scores_gemma":[0.9995995,0.00009477257,0.00005260846,0.00005799279,0.000126525,0.00006860364],"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":[0.00006507809,0.00003117982,0.00008943828,0.00003380492,0.00000569554,0.00003292978,0.000008063013,0.0002347964,0.9940446,0.0003291413,0.0002945147,0.004830855],"study_design_scores_gemma":[0.0000204835,0.0001769483,0.0005632028,0.00000384758,0.00001487231,0.0003844275,0.000007862316,0.0123163,0.9814508,0.0001414884,0.004889439,0.0000303179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1558851,0.0008145277,0.8300034,0.0003395278,0.000282326,0.0009743401,0.001477311,0.005208912,0.005014526],"genre_scores_gemma":[0.1547974,0.000419519,0.8334523,0.0002775693,0.00004778087,0.0013119,0.0008092797,0.0001657565,0.008718425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004551709,"threshold_uncertainty_score":0.01522696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487626653542344,"score_gpt":0.2886722998038499,"score_spread":0.2737960332684264,"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."}}