{"id":"W1989240471","doi":"10.1021/ac048240a","title":"Microfluidic Selection and Retention of a Single Cardiac Myocyte, On-Chip Dye Loading, Cell Contraction by Chemical Stimulation, and Quantitative Fluorescent Analysis of Intracellular Calcium","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chemistry; Myocyte; Calcium in biology; Biophysics; Cardiac myocyte; Intracellular; Calcium; Fluorescence; Microfluidic chip; Fluorescence microscope; Contraction (grammar); Cardiac muscle; Microfluidics; Centrifugation; Ionomycin; Cell; Quantitative analysis (chemistry); Nanotechnology; Chromatography; Cell biology; Biochemistry; Anatomy; Materials science; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003543426,0.0004484637,0.0005788474,0.0002781954,0.0002740486,0.0003312271,0.0006896628,0.0003835919,0.0004195335],"category_scores_gemma":[0.0003308096,0.0002904196,0.0002434036,0.0001685595,0.0003341524,0.0002150409,0.0004219378,0.0004199905,0.000233253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004577021,"about_ca_system_score_gemma":0.0005291419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898448,"about_ca_topic_score_gemma":0.001169711,"domain_scores_codex":[0.9997192,0.00002257081,0.0000233027,0.00008621503,0.000102071,0.00004665426],"domain_scores_gemma":[0.9997547,0.00008413953,0.00004723217,0.00003363744,0.00004436612,0.00003594945],"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":[0.00001189762,0.00001133819,0.00007300614,0.00002364859,0.000002354585,0.00002008994,0.00001174349,0.00006029517,0.9974812,0.0001985778,0.00003756888,0.002068259],"study_design_scores_gemma":[0.00001011142,0.00007888106,0.0009217747,0.000002335783,0.000007140763,0.000103021,0.000005165709,0.00252863,0.994402,0.00005792898,0.001874868,0.000008174638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7377518,0.003070785,0.2541938,0.0002942164,0.0001948437,0.0004904506,0.0005710701,0.000663034,0.002769956],"genre_scores_gemma":[0.7023192,0.001729281,0.2905577,0.0001694933,0.00007830378,0.001299006,0.0004891125,0.00007639176,0.003281614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006896628,"threshold_uncertainty_score":0.003320873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489601348838082,"score_gpt":0.2641306773635735,"score_spread":0.2392346638751927,"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."}}