{"id":"W4317433741","doi":"10.1007/s12551-022-01041-6","title":"Second harmonic generation microscopy: a powerful tool for bio-imaging","year":2023,"lang":"en","type":"review","venue":"Biophysical Reviews","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Microscopy; Second-harmonic generation; Nanotechnology; Second-harmonic imaging microscopy; Perspective (graphical); Optical imaging; Computer science; Neuroscience; Materials science; Optics; Physics; Artificial intelligence; Biology","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":[0.0008263041,0.0008192838,0.000911227,0.002617195,0.0004596861,0.001218814,0.001087024,0.00164336,0.003384211],"category_scores_gemma":[0.0004365905,0.0003678419,0.0003746102,0.001929152,0.00110987,0.002011449,0.001040085,0.002408283,0.003714581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767844,"about_ca_system_score_gemma":0.0008768782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008676056,"about_ca_topic_score_gemma":0.0009872203,"domain_scores_codex":[0.9996608,0.000044433,0.00001550145,0.00005175282,0.000198264,0.00002913465],"domain_scores_gemma":[0.9997873,0.00009592273,0.00002202605,0.0000133195,0.00005953098,0.00002198533],"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":[0.00004242905,0.00005985178,0.0001256687,0.007286592,0.00005755759,0.0002422354,0.0001064952,0.0004970417,0.02720359,0.02436239,0.04933193,0.8906843],"study_design_scores_gemma":[0.000004589284,0.00004228728,0.000195836,0.0004840035,0.00001556758,0.0007225996,0.00002653427,0.000146449,0.005038068,0.00407988,0.9892226,0.00002148282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000245743,0.9896963,0.003012069,0.0007473722,0.0004549162,0.00001325542,0.00002943637,0.00007057226,0.00573044],"genre_scores_gemma":[0.002646199,0.9895527,0.002299455,0.0004695871,0.0004773479,0.00002238415,0.00005435005,0.00001702789,0.004460992],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003384211,"threshold_uncertainty_score":0.01132131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05868584295479826,"score_gpt":0.3962156685129837,"score_spread":0.3375298255581854,"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."}}