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Neuroscience

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JoVE Journal Neuroscience
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Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Article DOI: 10.3791/55395-v • 12:29 min • May 3rd, 2017
May 3rd, 2017 •
*1, *1, 1, 2, 1, 3,4, 3, 2,5, *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

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Summary
Automatic Translation

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).

Tags

Algorithms High-throughput Multi-parametric Quantification Drosophila Neuromuscular Junction Morphology Morphometric Software Macros Synapse Development Neurobiology Automatic Quantification NMJ Features Disease Models Visual Demonstration Macro Settings VT Software Image Stacks TIFF Files DLG1 Staining BRP Staining
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