{"id":"W3006804449","doi":"10.1111/jmi.12880","title":"Multiphoton intravital microscopy in small animals: motion artefact challenges and technical solutions","year":2020,"lang":"en","type":"review","venue":"Journal of Microscopy","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Fonds de Recherche du Québec - Santé; Parkinson Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Multiple Sclerosis Society; National Science Foundation","keywords":"Microscopy; Intravital microscopy; Two-photon excitation microscopy; Light sheet fluorescence microscopy; Fluorescence microscope; Heartbeat; Autofluorescence; Microscope; Fluorescence-lifetime imaging microscopy; Optics; Nanotechnology; Biomedical engineering; Computer science; Materials science; Physics; Biology; Fluorescence; Scanning confocal electron microscopy; Medicine","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":[0.003170411,0.0005872639,0.00127824,0.001394926,0.0004210263,0.001776744,0.001482575,0.001942015,0.001432059],"category_scores_gemma":[0.001302034,0.000594597,0.0007266614,0.0009189358,0.001369725,0.002330991,0.001087409,0.002988806,0.001023574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024879,"about_ca_system_score_gemma":0.0008960718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00093117,"about_ca_topic_score_gemma":0.001134368,"domain_scores_codex":[0.9993001,0.0001715998,0.00005586533,0.0001212513,0.000279485,0.00007165566],"domain_scores_gemma":[0.998861,0.0007025608,0.0001193814,0.00004430617,0.0002242878,0.00004841502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001308937,0.000128327,0.0006890376,0.02940657,0.0002068782,0.001497888,0.0006793938,0.002990963,0.0991255,0.0403411,0.02322412,0.8015794],"study_design_scores_gemma":[0.00001556248,0.0003796947,0.001276965,0.002627096,0.00015121,0.005684318,0.0002230395,0.002314803,0.04388097,0.01085032,0.9324648,0.0001310915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001308532,0.9843329,0.01119699,0.0009675147,0.0003104631,0.00001678054,0.00002228449,0.00007592086,0.001768623],"genre_scores_gemma":[0.009756871,0.978255,0.008633142,0.0008508073,0.0005105189,0.00006862171,0.00008531871,0.00003388628,0.001805874],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003170411,"threshold_uncertainty_score":0.01676697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448980355252278,"score_gpt":0.3510612207925487,"score_spread":0.3065714172400259,"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."}}