{"id":"W4288925189","doi":"10.1101/2022.07.30.502108","title":"Characterization, Comparison, and Optimization of Lattice Light Sheets","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Philomathia Foundation; Yale University; Howard Hughes Medical Institute","keywords":"Light sheet fluorescence microscopy; Photobleaching; Microscopy; Optics; Gaussian; Lattice (music); Image resolution; Computer science; Materials science; Physics; Fluorescence; Acoustics; Scanning confocal electron microscopy","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":[0.0006400693,0.0002748021,0.0001848415,0.0005105452,0.0002297475,0.0008333533,0.0002534399,0.0002682326,0.0006930583],"category_scores_gemma":[0.001117042,0.0001796398,0.0001813524,0.000436803,0.0002600753,0.000355199,0.0002359724,0.0002830253,0.0002729581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000322155,"about_ca_system_score_gemma":0.0003368865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004356148,"about_ca_topic_score_gemma":0.0006961072,"domain_scores_codex":[0.9996628,0.00004679287,0.00003067753,0.00005924782,0.0001725255,0.00002803868],"domain_scores_gemma":[0.9990591,0.0002215119,0.0002007087,0.0001430726,0.0003087913,0.00006677431],"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":[0.00009364053,0.00006452456,0.002114915,0.00008807904,0.000008115308,0.00004702573,0.00005264147,0.01162852,0.9705371,0.000784408,0.0001164964,0.01446459],"study_design_scores_gemma":[0.000005661258,0.000197526,0.002009303,0.000008117733,0.00001002902,0.00004877505,0.0000349634,0.02851676,0.9675145,0.0001423344,0.00149824,0.00001385646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.962491,0.000563369,0.03379593,0.00006176859,0.00002430149,0.00007336139,0.0002150461,0.0001797151,0.002595504],"genre_scores_gemma":[0.946281,0.0003264976,0.05166472,0.00002070712,0.000004914709,0.00005680899,0.0003276413,0.00006223689,0.001255456],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008333533,"threshold_uncertainty_score":0.003385007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00831079487767851,"score_gpt":0.2430249771297094,"score_spread":0.2347141822520309,"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."}}