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Journal / Neuroscience / Twee algoritmes voor High-throughput en…
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Neuroscience

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JoVE Journal Neuroscience
Twee algoritmes voor High-throughput en multi-parametrische Kwantificering van
Automatic Identification of Dendritic Branches and their Orientation
Journal (Neuroscience)
Automatic Identification of Dendritic Branches and their Orientation
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Journal (Neuroscience)
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
 
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Twee algoritmes voor High-throughput en multi-parametrische Kwantificering van

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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Twee beeldanalyse algoritmen, "Drosophila NMJ Morfologie" en "Drosophila NMJ Bouton Morfologie" zijn gemaakt, automatisch kwantificeren negen morfologische kenmerken van de Drosophila neuromusculaire junctie (NMJ).

Tags

Neuroscience Fiji, NMJ macro synaps afbeelding segmentatie morfometrie
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