{"id":"W2524593580","doi":"10.1364/oe.24.022959","title":"Real-time 3D stabilization of a super-resolution microscope using an electrically tunable lens","year":2016,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Lens (geology); Fiducial marker; Materials science; Optics; Microscopy; Microscope; Optical microscope; Cluster (spacecraft); Computer science; Physics; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001328323,0.0001512548,0.0001603532,0.00005165168,0.00006380813,0.0000155572,0.0002121502,0.0001780978,0.00001920567],"category_scores_gemma":[0.000099124,0.0001283482,0.00004278809,0.00009939064,0.000135891,0.00002831848,0.00010053,0.00004303795,0.000002742944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005089376,"about_ca_system_score_gemma":0.00009052913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003603925,"about_ca_topic_score_gemma":0.00000345287,"domain_scores_codex":[0.9989144,0.00006339508,0.0002547405,0.0003531721,0.0001200758,0.000294207],"domain_scores_gemma":[0.9990933,0.00001116175,0.0001145225,0.0004788371,0.0002441348,0.00005806738],"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":[0.0000817686,0.0001070277,0.0002519402,0.00001392065,0.000008172073,6.967277e-7,0.00002571956,0.0001719187,0.9987484,0.00007088369,0.00009009064,0.0004294525],"study_design_scores_gemma":[0.0002531166,0.0003632008,0.00005833393,0.00005294093,0.00001330803,0.000004607809,0.000007794975,0.00121529,0.9970016,0.0000689965,0.0007820532,0.0001787799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6971217,0.0000740386,0.3022574,0.00001128246,0.00002651517,0.0001955578,0.00004022424,0.00003455623,0.0002386917],"genre_scores_gemma":[0.4372705,0.0008083202,0.5611101,0.00002617601,0.0001020956,0.00001955152,0.00009630414,0.00006698876,0.0004999407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2598512,"threshold_uncertainty_score":0.5233888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370287889432206,"score_gpt":0.2787484646660628,"score_spread":0.2650455857717408,"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."}}