{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001782486,0.0003129404,0.000237049,0.0001477961,0.0002196555,0.00009845797,0.000902713,0.0001481515,0.000006707312],"category_scores_gemma":[0.0004030045,0.0002939992,0.00006543082,0.000885748,0.0008691925,0.00003171655,0.0005720069,0.000309189,0.000002158823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004747409,"about_ca_system_score_gemma":0.0002416282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092438,"about_ca_topic_score_gemma":6.635201e-7,"domain_scores_codex":[0.9976043,0.00003785716,0.0003374773,0.001061195,0.0003100734,0.0006491343],"domain_scores_gemma":[0.9989293,0.00001836052,0.0001330884,0.0006249221,0.0001201933,0.0001741287],"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":[0.0001155881,0.00004941153,0.001506977,0.00001627361,0.000004491358,0.00002532517,0.000007077556,0.00009088177,0.9959636,0.00003076872,0.0002165987,0.001973006],"study_design_scores_gemma":[0.0002576696,0.000089225,0.0002836342,0.00007898042,0.00002304348,0.00005583412,0.000008341873,0.00290927,0.9946705,0.00007343522,0.001224565,0.0003254761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8500416,0.0001496289,0.1486083,0.00019377,0.0002837641,0.0003776263,0.000008820395,0.0001114725,0.0002250359],"genre_scores_gemma":[0.944766,0.0001211385,0.05365199,0.001139871,0.00008375545,0.00001734397,0.00001366167,0.00003686501,0.0001693555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09495628,"threshold_uncertainty_score":0.9999512,"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."}}