{"id":"W4395484779","doi":"10.1117/12.3002808","title":"Development of a label-free optofluidic platform based on quantitative-phase digital holographic microscopy and microfluidics to perform biophysical phenotyping of human cells","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Microfluidics; Digital holographic microscopy; Holography; Microscopy; Phase imaging; Digital holography; Digital microfluidics; Nanotechnology; Computer science; Phase (matter); Materials science; Optoelectronics; Optics; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001279653,0.0002880875,0.0003663644,0.0004007569,0.0001148418,0.0001341742,0.0002555357,0.00005870298,0.00005255273],"category_scores_gemma":[0.000003667735,0.0002487562,0.0001556214,0.0005469463,0.0002684609,0.000271535,0.0001366418,0.0001470698,0.00001683243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001395802,"about_ca_system_score_gemma":0.00009991805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297304,"about_ca_topic_score_gemma":8.046496e-7,"domain_scores_codex":[0.9985884,0.000008229597,0.0004868064,0.0004210891,0.0001695909,0.0003258436],"domain_scores_gemma":[0.9993234,0.00009775658,0.00007957076,0.0002990866,0.00006666226,0.0001335539],"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":[0.00013172,0.0009364227,0.0006526638,0.0001564719,0.0001104522,0.000001922088,0.0006423293,6.591931e-7,0.944083,0.03202212,0.0003972806,0.02086495],"study_design_scores_gemma":[0.001294977,0.0008930672,0.000186389,0.0003422159,0.00003240467,3.172082e-7,0.0005168156,0.0002146029,0.9939501,0.0009610147,0.001304746,0.0003033867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863828,0.0001672583,0.008795502,0.00002201213,0.00009559478,0.0003095399,0.0004594212,0.00004758677,0.003720222],"genre_scores_gemma":[0.991132,0.000003290222,0.008591151,0.00004038423,0.00002361728,0.00001919094,0.0000993026,0.00003047752,0.00006057579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04986705,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327628538271662,"score_gpt":0.3156916348591957,"score_spread":0.292415349476479,"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."}}