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GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems.
Rellán-Álvarez, Rubén; Lobet, Guillaume; Lindner, Heike; Pradier, Pierre-Luc; Sebastian, Jose; Yee, Muh-Ching; Geng, Yu; Trontin, Charlotte; LaRue, Therese; Schrager-Lavelle, Amanda; Haney, Cara H; Nieu, Rita; Maloof, Julin; Vogel, John P; Dinneny, José R.
Afiliación
  • Rellán-Álvarez R; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • Lobet G; PhytoSystems, University of Liège, Liège, Belgium.
  • Lindner H; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • Pradier PL; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • Sebastian J; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • Yee MC; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • Geng Y; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • Trontin C; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
  • LaRue T; Department of Biology, Stanford University, Stanford, United States.
  • Schrager-Lavelle A; Department of Plant Biology, University of California, Davis, Davis, United States.
  • Haney CH; Department of Genetics, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.
  • Nieu R; Western Regional Research Center, United States Department of Agriculture, Albany, United States.
  • Maloof J; Department of Plant Biology, University of California, Davis, Davis, United States.
  • Vogel JP; Department of Energy, Department of Energy Joint Genome Institute, Walnut Creek, United States.
  • Dinneny JR; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
Elife ; 42015 Aug 19.
Article en En | MEDLINE | ID: mdl-26287479
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suelo / Procesamiento de Imagen Asistido por Computador / Raíces de Plantas / Imagen Óptica Idioma: En Revista: Elife Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suelo / Procesamiento de Imagen Asistido por Computador / Raíces de Plantas / Imagen Óptica Idioma: En Revista: Elife Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido