Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology
556 مشاهدة
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استشهد بها 13
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12:29 دقيقة
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مايو 3, 2017
DOI :10.3791/55395-v
مايو 3, 2017
•556 مشاهدة
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
* These authors contributed equally
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).
Chapters in this video
0:05
Title
1:03
Creating NMJ Images with Defined Features
4:50
Macro Settings: Rolling Ball Radius Value and Auto-threshold
7:26
Macro Settings: Maxima Noise Tolerance Value, and Brp-puncta Thresholds
10:16
Results: Validating the Marco by Recapitulating Known NMJ Defects
11:38
Conclusion
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