{"id":"W3214249012","doi":"10.1364/oe.444701","title":"Engineered fluidic device to achieve multiplexed monitoring of cell cultures with digital holographic microscopy","year":2021,"lang":"en","type":"article","venue":"Optics Express","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Université de Lausanne; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Fluidics; Digital holographic microscopy; Microfluidics; Multiplexing; Holography; Microscopy; Materials science; Homogeneous; Laminar flow; Biocompatible material; Computer science; Nanotechnology; Biomedical engineering; Optics; Physics; Engineering","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":[0.0002874235,0.0003462016,0.0002780514,0.0004438981,0.0001630595,0.0005080863,0.0004605789,0.0006009716,0.0006537377],"category_scores_gemma":[0.0003495369,0.000181332,0.0002249914,0.0001714603,0.0003466731,0.0003512902,0.0004503104,0.0004513158,0.0002784249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491071,"about_ca_system_score_gemma":0.0002405575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001983757,"about_ca_topic_score_gemma":0.0003006473,"domain_scores_codex":[0.9997767,0.00002504034,0.00002092239,0.00005463005,0.0001000402,0.00002266201],"domain_scores_gemma":[0.9998068,0.00007431463,0.00003942595,0.00002620463,0.00003234538,0.00002089952],"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":[0.00002539547,0.00002934957,0.00009411622,0.0000470724,0.000003546124,0.00007301627,0.00002321757,0.0007058269,0.9897445,0.0008877783,0.0001892253,0.008177021],"study_design_scores_gemma":[0.00001064378,0.00007372637,0.0002939427,0.000005773027,0.000006874646,0.0001576405,0.000007443082,0.007001885,0.985859,0.0001780189,0.006387324,0.00001778165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.355391,0.002951861,0.6312926,0.0004154361,0.0007768496,0.0003315726,0.0007409573,0.001897634,0.006202132],"genre_scores_gemma":[0.5232038,0.0009321669,0.4705257,0.0003180444,0.00009911246,0.000426051,0.0002892459,0.00006117484,0.004144572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006537377,"threshold_uncertainty_score":0.002532959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007661733453131416,"score_gpt":0.2422368328619582,"score_spread":0.2345750994088268,"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."}}