In JoVE (1)
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Articles by Jolanda M. Scheffer-de Gooyert in JoVE
Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology Anna Castells-Nobau*1, Bonnie Nijhof*1, Ilse Eidhof1, Louis Wolf2, Jolanda M. Scheffer-de Gooyert1, Ignacio Monedero3,4, Laura Torroja3, Jeroen A.W.M. van der Laak2,5, Annette Schenck*1 1Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 2Microscopical Imaging Centre (MIC), Radboud University Medical Center, 3Department of Biology, Universidad Autónoma de Madrid, 4Department of Clinical and Experimental Medicine, Linköping University, 5Department of Pathology, Radboud University Medical Center Two image analysis algorithms, "Drosophila NMJ Morphometrics" and "Drosophila NMJ Bouton Morphometrics" were created, to automatically quantify nine morphological features of the Drosophila neuromuscular junction (NMJ).