{"id":"https://openalex.org/W7225736020","doi":"https://doi.org/10.21203/rs.3.rs-10528300/v1","title":"A Reproducible Microfluidic Platform Combined with Deep Learning Image Analysis Enables Quantitative Single-Cell Characterization of Keratinocyte Responses to Flow","display_name":"A Reproducible Microfluidic Platform Combined with Deep Learning Image Analysis Enables Quantitative Single-Cell Characterization of Keratinocyte Responses to Flow","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225736020","doi":"https://doi.org/10.21203/rs.3.rs-10528300/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-10528300/v1","doi":"https://doi.org/10.21203/rs.3.rs-10528300/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10528300/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21203/rs.3.rs-10528300/v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161385262","display_name":"Miguel Del Valle-Fuentes","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel Del Valle-Fuentes","raw_affiliation_strings":["B5tec Solutions S.L"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B5tec Solutions S.L","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031835893","display_name":"Ang\u00e9lica Corral","orcid":"https://orcid.org/0000-0001-5001-4679","observed_orcids":["https://orcid.org/0000-0001-5001-4679"]},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ang\u00e9lica Corral","raw_affiliation_strings":["Universidad Carlos III de Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056386952","display_name":"Alberto Bernaldo de Quir\u00f3s","orcid":"https://orcid.org/0000-0003-1486-6422","observed_orcids":["https://orcid.org/0000-0003-1486-6422"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alberto Bernaldo De Quir\u00f3s","raw_affiliation_strings":["B5tec Solutions S.L"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B5tec Solutions S.L","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161376050","display_name":"\u00d3scar Crespo-Toca","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u00d3scar Crespo-Toca","raw_affiliation_strings":["B5tec Solutions S.L"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B5tec Solutions S.L","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161401723","display_name":"Laura Aguado-Cabanillas","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laura Aguado-Cabanillas","raw_affiliation_strings":["B5tec Solutions S.L"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B5tec Solutions S.L","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075305663","display_name":"Leticia Valencia","orcid":"https://orcid.org/0000-0002-3527-9924","observed_orcids":["https://orcid.org/0000-0002-3527-9924"]},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Leticia Valencia","raw_affiliation_strings":["Universidad Carlos III de Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074387203","display_name":"Diego Velasco","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Diego Velasco","raw_affiliation_strings":["Universidad Carlos III de Madrid"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017811045","display_name":"Alberto E. Quintero","orcid":"https://orcid.org/0000-0002-3316-8219","observed_orcids":["https://orcid.org/0000-0002-3316-8219"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alberto E. Quintero","raw_affiliation_strings":["B5tec Solutions S.L"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B5tec Solutions S.L","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049866573","display_name":"Ver\u00f3nica Pena-Le\u00f3n","orcid":"https://orcid.org/0000-0002-2438-1712","observed_orcids":["https://orcid.org/0000-0002-2438-1712"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Veronica Pena-Leon","raw_affiliation_strings":["B5tec Solutions S.L"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"B5tec Solutions S.L","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.7788000106811523,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.7788000106811523,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11190","display_name":"3D Printing in Biomedical Research","score":0.17180000245571136,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10379","display_name":"Cellular Mechanics and Interactions","score":0.012500000186264515,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6617000102996826},{"id":"https://openalex.org/C8673954","wikidata":"https://www.wikidata.org/wiki/Q138845","display_name":"Microfluidics","level":2,"score":0.6137999892234802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.527999997138977},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C2777074287","wikidata":"https://www.wikidata.org/wiki/Q1473931","display_name":"Keratinocyte","level":3,"score":0.49000000953674316},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C81885089","wikidata":"https://www.wikidata.org/wiki/Q189082","display_name":"Cell culture","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C81241287","wikidata":"https://www.wikidata.org/wiki/Q189474","display_name":"Keratin","level":2,"score":0.4291999936103821},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.42719998955726624},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4058000147342682},{"id":"https://openalex.org/C157044486","wikidata":"https://www.wikidata.org/wiki/Q5754482","display_name":"High-content screening","level":3,"score":0.3937000036239624},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3806999921798706},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.3582000136375427},{"id":"https://openalex.org/C202751555","wikidata":"https://www.wikidata.org/wiki/Q221681","display_name":"In vitro","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C553184892","wikidata":"https://www.wikidata.org/wiki/Q1141429","display_name":"Flow cytometry","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C169274487","wikidata":"https://www.wikidata.org/wiki/Q840211","display_name":"Fluorescence microscope","level":3,"score":0.3174999952316284},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.29739999771118164},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C6045943","wikidata":"https://www.wikidata.org/wiki/Q21014462","display_name":"Immortalised cell line","level":3,"score":0.29030001163482666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.27079999446868896},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C148738053","wikidata":"https://www.wikidata.org/wiki/Q210861","display_name":"Cellular differentiation","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C2778266373","wikidata":"https://www.wikidata.org/wiki/Q14864175","display_name":"Keratin 14","level":5,"score":0.2619999945163727},{"id":"https://openalex.org/C118995209","wikidata":"https://www.wikidata.org/wiki/Q5636366","display_name":"HaCaT","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C189014844","wikidata":"https://www.wikidata.org/wiki/Q189118","display_name":"Cell type","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C49892992","wikidata":"https://www.wikidata.org/wiki/Q1540285","display_name":"Tissue engineering","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-10528300/v1","doi":"https://doi.org/10.21203/rs.3.rs-10528300/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10528300/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-10528300/v1","doi":"https://doi.org/10.21203/rs.3.rs-10528300/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10528300/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Advanced":[1],"in":[2,131,182],"vitro":[3,183],"models":[4],"require":[5],"physiologically":[6],"relevant":[7],"culture":[8,27],"conditions":[9],"together":[10],"with":[11,33,56,77,114],"objective":[12,178],"and":[13,60,94,127,143,145,191],"reproducible":[14],"methods":[15],"for":[16,40,64,177],"quantitative":[17,41],"cell":[18,123,141,151,168],"analysis.":[19],"Here,":[20],"we":[21],"present":[22],"an":[23],"integrated":[24,171],"microfluidic":[25,54],"tissue":[26],"platform":[28,49,172],"combining":[29],"controlled":[30],"recirculating":[31],"flow":[32,58,73,156],"a":[34,51,86,174],"Human-in-the-Loop":[35],"(HITL)":[36],"deep":[37],"learning":[38],"workflow":[39,105],"single-cell":[42,107],"analysis":[43],"of":[44,98,122,180],"dense":[45],"keratinocyte":[46],"cultures.":[47,134],"The":[48,103],"comprises":[50],"custom":[52],"3D-printed":[53],"bioreactor":[55],"automated":[57],"regulation":[59],"was":[61],"experimentally":[62],"validated":[63],"biocompatibility.":[65],"Immortalized":[66],"human":[67],"keratinocytes":[68],"(HaCaT)":[69],"cultured":[70],"under":[71],"continuous":[72],"($50\\,\\mu\\mathrm{L/min}$)":[74],"were":[75,83],"compared":[76,113],"static":[78],"controls.":[79],"Fluorescence":[80],"microscopy":[81],"images":[82],"analyzed":[84],"using":[85],"computational":[87],"pipeline":[88],"based":[89],"on":[90],"Z-projections,":[91],"spatial":[92],"upsampling,":[93],"iterative":[95],"HITL":[96],"fine-tuning":[97],"the":[99],"Cellpose":[100],"(cyto3)":[101],"model.":[102],"optimized":[104],"improved":[106],"detection":[108],"by":[109],"more":[110],"than":[111],"$140\\%$":[112],"pretrained":[115],"generalist":[116],"segmentation":[117],"models,":[118],"enabling":[119],"robust":[120],"quantification":[121],"number,":[124],"morphology,":[125],"viability,":[126],"fluorescence":[128],"marker":[129],"expression":[130,148,165],"highly":[132],"confluent":[133],"Flow":[135],"significantly":[136],"increased":[137],"metabolic":[138],"activity,":[139],"proliferation,":[140],"area":[142],"diameter,":[144],"keratin":[146,159],"5":[147],"while":[149,166],"preserving":[150],"morphology.":[152],"Under":[153],"differentiation":[154,163],"conditions,":[155],"further":[157],"enhanced":[158],"10":[160],"(an":[161],"early":[162],"marker)":[164],"maintaining":[167],"viability.":[169],"This":[170],"provides":[173],"scalable":[175],"framework":[176],"evaluation":[179],"advanced":[181],"microphysiological":[184],"systems,":[185],"supporting":[186],"biomedical":[187],"research,":[188],"Organ-on-a-Chip":[189],"technologies,":[190],"New":[192],"Approach":[193],"Methodologies":[194],"(NAMs).":[195]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-11T00:00:00"}