{"id":"W4206074564","doi":"10.1038/s41598-021-04543-7","title":"Low-invasive 5D visualization of mitotic progression by two-photon excitation spinning-disk confocal microscopy","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Science and Technology Agency; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; Hokkaido University; Core Research for Evolutional Science and Technology; University of California, San Diego; Japan Agency for Medical Research and Development","keywords":"Two-photon excitation microscopy; Microscopy; Optical sectioning; Confocal microscopy; Optics; Confocal; Microscope; Materials science; Scanning confocal electron microscopy; Live cell imaging; Fluorescence microscope; Fluorescence; Biomedical engineering; Physics; Chemistry; Medicine; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002514448,0.0003398374,0.0002478177,0.0004739749,0.0002824907,0.000461272,0.0003841066,0.0004236608,0.0009944135],"category_scores_gemma":[0.0002061729,0.0002401274,0.000216419,0.0002658001,0.0002330483,0.0002736103,0.0003511488,0.0005674504,0.0002868776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003560401,"about_ca_system_score_gemma":0.0003774175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393366,"about_ca_topic_score_gemma":0.003249256,"domain_scores_codex":[0.9998915,0.00001299158,0.000006500782,0.00003071729,0.00003819272,0.00002007366],"domain_scores_gemma":[0.9998751,0.00003895572,0.00002463969,0.00001967333,0.0000251662,0.00001644195],"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":[0.00001832609,0.000006726591,0.00019385,0.00005294401,0.00000302212,0.00004438936,0.00001853631,0.0004929011,0.9959427,0.0002989091,0.00006422945,0.002863594],"study_design_scores_gemma":[0.000009516243,0.00006132777,0.005861762,0.00001752349,0.00001381192,0.0003659163,0.00004933284,0.02739543,0.96129,0.0002873798,0.00462027,0.00002762775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6798965,0.002107925,0.3101348,0.0001979992,0.00006133735,0.0001389194,0.001902579,0.0008310725,0.004728925],"genre_scores_gemma":[0.6284514,0.001670004,0.365641,0.00007387128,0.0000236436,0.0002427634,0.0009860363,0.0001164787,0.002794678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001393366,"threshold_uncertainty_score":0.003326654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007585932513028183,"score_gpt":0.3148631669800405,"score_spread":0.3072772344670123,"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."}}