{"id":"W4411974740","doi":"10.1364/ntm.2025.nth1c.2","title":"Contrast enhancement for next generation label-free microscopy : DRiM","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Contrast (vision); Microscopy; Contrast enhancement; Computer science; Optical microscope; Artificial intelligence; Optics; Medicine; Physics; Scanning electron microscope; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009272623,0.0001372657,0.0001137596,0.00003383652,0.0001000145,0.00003973121,0.0002376755,0.0001216556,0.0000222406],"category_scores_gemma":[0.00007677342,0.0001332075,0.00004772584,0.00005892697,0.00006090433,0.000005489262,0.0001140486,0.00004185127,0.000003127077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971711,"about_ca_system_score_gemma":0.00007196171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000770467,"about_ca_topic_score_gemma":0.00005087788,"domain_scores_codex":[0.9991822,0.000014424,0.0001889117,0.0003414842,0.00004830832,0.0002246928],"domain_scores_gemma":[0.9993684,0.000007765715,0.00004346128,0.0004307492,0.0001193005,0.00003034864],"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":[0.000052842,0.00005354658,0.00007235602,0.00001388245,0.000020205,1.160401e-7,0.000004953711,0.000001328951,0.93112,0.001553777,0.06277798,0.004328986],"study_design_scores_gemma":[0.0006391333,0.0002018496,0.00001106123,0.00001341086,0.00001076754,4.369894e-7,0.00001400437,0.0002108739,0.9242504,0.0004537485,0.07406619,0.0001280842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05796946,0.0007775265,0.9384595,0.0004523835,0.0002082401,0.0006283653,0.00002685469,0.00004149931,0.001436185],"genre_scores_gemma":[0.1973841,0.0005258343,0.7822218,0.003625273,0.0002908885,0.0005381878,0.0004874233,0.00003418834,0.01489231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1562377,"threshold_uncertainty_score":0.5432046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030506332634894,"score_gpt":0.3284694142522077,"score_spread":0.3081643509258588,"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."}}