{"id":"W4393950251","doi":"10.1117/1.nph.11.2.024207","title":"Blue-shifted genetically encoded Ca2+ indicator with enhanced two-photon absorption","year":2024,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Calgary; University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Hippocampal formation; Biophysics; Two-photon excitation microscopy; Fluorescence; Chemistry; Calcium imaging; In vivo; Excitation; Fluorescence-lifetime imaging microscopy; Calcium; Optics; Neuroscience; Biology; Physics","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":[0.000224275,0.0004823952,0.0002482261,0.0002797529,0.0001519083,0.0003588717,0.0004338998,0.0005643726,0.0007019686],"category_scores_gemma":[0.0003010239,0.0001709929,0.0002676729,0.0002910286,0.0003371657,0.0003032838,0.0004560526,0.0008574189,0.00031989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007091046,"about_ca_system_score_gemma":0.000284496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008795534,"about_ca_topic_score_gemma":0.001033544,"domain_scores_codex":[0.9998203,0.00001736897,0.000009371312,0.00003954774,0.00007483851,0.0000385149],"domain_scores_gemma":[0.9998161,0.00002760494,0.00005865816,0.00002194602,0.0000337467,0.0000419705],"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":[0.00001154207,0.000006337168,0.00006495792,0.00001257895,0.000001418484,0.00001594123,0.000004374675,0.0001116809,0.999092,0.00007334413,0.0000276319,0.0005781922],"study_design_scores_gemma":[0.000003217675,0.00002132402,0.0004019673,0.000002198767,0.000002802243,0.00006442136,0.000003593419,0.001830571,0.996838,0.00001374281,0.000812323,0.000005740323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656224,0.0007767614,0.03024066,0.0002851046,0.00004162034,0.00006656865,0.0003312907,0.0004214866,0.002214025],"genre_scores_gemma":[0.9597283,0.0007313119,0.03505316,0.00009833189,0.000008389243,0.00008013179,0.0006304705,0.0001330174,0.003536805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008795534,"threshold_uncertainty_score":0.005144894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062594384932245,"score_gpt":0.2642181586317415,"score_spread":0.2581555642468093,"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."}}