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GEMA-An Automatic Segmentation Method for Real-Time Analysis of Mammalian Cell Growth in Microfluidic Devices.
Isa-Jara, Ramiro; Pérez-Sosa, Camilo; Macote-Yparraguirre, Erick; Revollo, Natalia; Lerner, Betiana; Miriuka, Santiago; Delrieux, Claudio; Pérez, Maximiliano; Mertelsmann, Roland.
Afiliación
  • Isa-Jara R; CONICET-National Scientific and Technical Research Council, Buenos Aires C1004, Argentina.
  • Pérez-Sosa C; Faculty of Informatics and Electronic, ESPOCH-Polytechnic School of Chimborazo, Riobamba 060155, Ecuador.
  • Macote-Yparraguirre E; CONICET-National Scientific and Technical Research Council, Buenos Aires C1004, Argentina.
  • Revollo N; IREN Center, UTN-National Technological University, Pacheco, Buenos Aires B1618, Argentina.
  • Lerner B; CONICET-National Scientific and Technical Research Council, Buenos Aires C1004, Argentina.
  • Miriuka S; IREN Center, UTN-National Technological University, Pacheco, Buenos Aires B1618, Argentina.
  • Delrieux C; CONICET-National Scientific and Technical Research Council, Buenos Aires C1004, Argentina.
  • Pérez M; Department of Electrical and Computer Engineering, USN (National University of the South), Bahía Blanca B8000, Argentina.
  • Mertelsmann R; Department of Electrical and Computer Engineering, FIU (Florida International University), Miami, FL 33174, USA.
J Imaging ; 8(10)2022 Oct 14.
Article en En | MEDLINE | ID: mdl-36286375

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Imaging Año: 2022 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Imaging Año: 2022 Tipo del documento: Article País de afiliación: Argentina Pais de publicación: Suiza