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Automated quantification of vacuole fusion and lipophagy in Saccharomyces cerevisiae from fluorescence and cryo-soft X-ray microscopy data using deep learning.
Egebjerg, Jacob Marcus; Szomek, Maria; Thaysen, Katja; Juhl, Alice Dupont; Kozakijevic, Suzana; Werner, Stephan; Pratsch, Christoph; Schneider, Gerd; Kapishnikov, Sergey; Ekman, Axel; Röttger, Richard; Wüstner, Daniel.
Affiliation
  • Egebjerg JM; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
  • Szomek M; Department of Mathematics and Computer Science, University of Southern Denmark, Odense M, Denmark.
  • Thaysen K; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
  • Juhl AD; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
  • Kozakijevic S; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
  • Werner S; Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
  • Pratsch C; Department of X­Ray Microscopy, Helmholtz-Zentrum Berlin, Germany and Humboldt-Universität zu Berlin, Institut für Physik, Berlin, Germany.
  • Schneider G; Department of X­Ray Microscopy, Helmholtz-Zentrum Berlin, Germany and Humboldt-Universität zu Berlin, Institut für Physik, Berlin, Germany.
  • Kapishnikov S; Department of X­Ray Microscopy, Helmholtz-Zentrum Berlin, Germany and Humboldt-Universität zu Berlin, Institut für Physik, Berlin, Germany.
  • Ekman A; SiriusXT, 9A Holly Ave. Stillorgan Industrial Park, Blackrock, Co, Dublin, Ireland.
  • Röttger R; Department of Biological and Environmental Science and Nanoscience Centre, University of Jyväskylä, Jyväskylä, Finland.
  • Wüstner D; Department of Mathematics and Computer Science, University of Southern Denmark, Odense M, Denmark.
Autophagy ; : 1-21, 2023 Oct 31.
Article de En | MEDLINE | ID: mdl-37908116

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Autophagy Année: 2023 Type de document: Article Pays d'affiliation: Danemark Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Autophagy Année: 2023 Type de document: Article Pays d'affiliation: Danemark Pays de publication: États-Unis d'Amérique