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

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

DOI:
10.3791/55395-v

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12:29 min

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May 03, 2017

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, , , , , , , ,
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

Capítulos

  • 00:05Título
  • 01:03Creating NMJ Images with Defined Features
  • 04:50Macro Settings: Rolling Ball Radius Value and Auto-threshold
  • 07:26Macro Settings: Maxima Noise Tolerance Value, and Brp-puncta Thresholds
  • 10:16Results: Validating the Marco by Recapitulating Known NMJ Defects
  • 11:38Conclusion

Summary

Tadução automática

Tadução automática

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

Keywords: DrosophilaNeuromuscular JunctionMorphologyQuantificationHigh-throughputMulti-parametricImage AnalysisMacrosDLG1BRPROIAutomated Analysis

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