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To Algoritmer for High-throughput og Multi-parametrisk Kvantificering af<em> Drosophila</em> Neuromuskulære forbindelse Morfologi
JoVE Journal
Neuroscienze
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JoVE Journal Neuroscienze
Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

To Algoritmer for High-throughput og Multi-parametrisk Kvantificering af<em> Drosophila</em> Neuromuskulære forbindelse Morfologi

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

Capitoli

  • 00:05Titolo
  • 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

Traduzione automatica

Traduzione automatica

To billedanalyse algoritmer, "Drosophila NMJ Morphometrics" og "Drosophila NMJ Bouton Morphometrics" blev skabt, til automatisk at kvantificere ni morfologiske træk af Drosophila neuromuskulære overgang (NMJ).

Tags

Keywords: DrosophilaNeuromuscular JunctionMorphologyQuantificationHigh-throughputMulti-parametricImage AnalysisMacrosDLG1BRPROIAutomated Analysis

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