{"id":"W1987096689","doi":"10.1117/12.384200","title":"<title>Improvements to quantitative microscopy through the use of digital micromirror devices</title>","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Microscopy; Digital micromirror device; Digital holographic microscopy; Optics; Light sheet fluorescence microscopy; Microscope; Optical microscope; Confocal microscopy; Computer science; Super-resolution microscopy; Materials science; Numerical aperture; Resolution (logic); Confocal; Bright-field microscopy; Computer vision; Scanning confocal electron microscopy; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001826033,0.0006455714,0.0003453383,0.001068849,0.0002909587,0.001387448,0.001002632,0.0005711376,0.04056447],"category_scores_gemma":[0.00281845,0.000328782,0.0004693947,0.000721395,0.0006149826,0.00137775,0.0007758053,0.00141755,0.01594854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008407492,"about_ca_system_score_gemma":0.0005581244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191588,"about_ca_topic_score_gemma":0.001894145,"domain_scores_codex":[0.9987738,0.0001610437,0.0001063756,0.0001841404,0.0007260607,0.00004868284],"domain_scores_gemma":[0.9982526,0.0002919764,0.0001129727,0.0003457402,0.0009044233,0.00009236729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000200292,0.0001408336,0.0006680352,0.0005653999,0.0000220456,0.0003317086,0.00009550455,0.00142542,0.409326,0.03253394,0.07909606,0.4755947],"study_design_scores_gemma":[0.00006990919,0.0003799619,0.001378456,0.00007136605,0.00002359353,0.001313526,0.00003901868,0.01297073,0.3842482,0.003560165,0.5958549,0.00009031017],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02897703,0.008577648,0.715059,0.006494859,0.01142982,0.0007066066,0.002004178,0.0151339,0.2116169],"genre_scores_gemma":[0.1208919,0.008802092,0.6249305,0.001658736,0.001644745,0.0002933704,0.002638265,0.00376363,0.2353768],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04056447,"threshold_uncertainty_score":0.1357017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645562934532429,"score_gpt":0.2754585793561757,"score_spread":0.2590029500108514,"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."}}