{"id":"W2023749618","doi":"10.1364/oe.19.000387","title":"Microscope-based label-free microfluidic cytometry","year":2010,"lang":"en","type":"article","venue":"Optics Express","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Microfluidics; Microscope; Materials science; Microscopy; Cytometry; Optical microscope; Stem cell; CD34; Light scattering; Optics; Nanotechnology; Flow cytometry; Scattering; Cell biology; Biology; Immunology; Scanning electron microscope; Physics","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":[0.0004796478,0.0003581549,0.0003993655,0.0003646596,0.0003885944,0.0006196183,0.001224207,0.000712773,0.002001114],"category_scores_gemma":[0.0007787963,0.0003117821,0.0001821848,0.0002096149,0.0004587179,0.0005456895,0.000623695,0.0007502951,0.0008792584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008191433,"about_ca_system_score_gemma":0.0007201363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004967031,"about_ca_topic_score_gemma":0.001115929,"domain_scores_codex":[0.9994617,0.00004423737,0.00002740147,0.0001137326,0.0003163736,0.00003660307],"domain_scores_gemma":[0.9996622,0.0001437,0.00003820093,0.00004641245,0.0000816284,0.00002778997],"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":[0.00006607263,0.00003521945,0.0002574913,0.0001422948,0.00000957159,0.00003971997,0.00003499232,0.00191033,0.9711837,0.004047366,0.001619195,0.02065398],"study_design_scores_gemma":[0.00005239465,0.00008949834,0.000588352,0.00001656513,0.00001211901,0.0001323101,0.000007657545,0.0486419,0.9305966,0.001272658,0.01854439,0.00004563026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1236823,0.001250194,0.8612919,0.0008434303,0.000491641,0.000409425,0.001513174,0.004009606,0.006508298],"genre_scores_gemma":[0.3320976,0.001042221,0.6551647,0.0005505659,0.000176443,0.001055414,0.0009337061,0.0001550428,0.008824239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002001114,"threshold_uncertainty_score":0.006694376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096772139184477,"score_gpt":0.2211374064838708,"score_spread":0.210169685092026,"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."}}