{"id":"W4416542252","doi":"10.1021/acschemneuro.5c00670","title":"Absolute Membrane Potential Recording with ASAP-Type Genetically Encoded Voltage Indicators Using Fluorescence Lifetime Imaging","year":2025,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"Leibniz-Gemeinschaft; Bundesministerium für Bildung und Forschung; Deutscher Akademischer Austauschdienst; European Regional Development Fund; Universitätsklinikum Jena; Freistaat Thüringen; Deutsche Forschungsgemeinschaft; Friedrich-Schiller-Universität Jena; Simons Foundation","keywords":"Fluorescence; Fluorescence-lifetime imaging microscopy; Membrane potential; Fluorescence microscope; Microscopy; Voltage; Membrane; Förster resonance energy transfer","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":[0.0003047655,0.0005039494,0.000301605,0.0002419595,0.000238075,0.000476132,0.0008009788,0.0005742619,0.00113718],"category_scores_gemma":[0.0004837912,0.0002248511,0.0002321517,0.0002840404,0.000339815,0.0006318701,0.0004341847,0.001050493,0.0005165908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006025312,"about_ca_system_score_gemma":0.0003201493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008333089,"about_ca_topic_score_gemma":0.0014278,"domain_scores_codex":[0.9998075,0.0000172402,0.00001391218,0.00006862197,0.0000689104,0.00002384261],"domain_scores_gemma":[0.9997833,0.00004740519,0.0000549053,0.0000296612,0.00005799588,0.00002667776],"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":[0.00001732812,0.000004801832,0.00006518542,0.00002061127,0.000002136561,0.00001892642,0.00001171307,0.00007338492,0.9980283,0.0001493282,0.00008098211,0.00152725],"study_design_scores_gemma":[0.000003220235,0.00003152241,0.0006394314,0.000003379786,0.000004561082,0.00005344499,0.00001284195,0.002868184,0.9954206,0.00009900694,0.0008579661,0.000005892737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7573877,0.0007526673,0.2329357,0.0004712918,0.00009866362,0.0001452933,0.002110701,0.001920252,0.004177672],"genre_scores_gemma":[0.8121192,0.001311116,0.1795862,0.0001688891,0.00002753418,0.0005193627,0.001413173,0.0002713758,0.004583231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00113718,"threshold_uncertainty_score":0.004371643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005846879649821774,"score_gpt":0.2657688396150836,"score_spread":0.2599219599652619,"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."}}