A deconvolution method to improve automated 3D-analysis of dendritic spines: Application to a mouse model of Huntington's disease

Brain Structure and Function

Volumn 217, Issue 2, 2012, Pages 421-434

  Heck, Nicolas ^a   Betuing, Sandrine ^a   Vanhoutte, Peter ^a   Caboche, Jocelyne ^a  

^a Groupe Enzymologie Moléculaire et Fonctionnelle   (France)

Author keywords

Confocal microscopy; Deconvolution; Dendritic spine; Huntington's disease

Indexed keywords

ANALYTIC METHOD; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; AUTOMATION; CONFOCAL MICROSCOPY; CONTROLLED STUDY; DECONVOLUTION METHOD; DENDRITE; DENDRITIC SPINE; FEMALE; HEMIZYGOSITY; HUNTINGTON CHOREA; HYDROPHOBICITY; IMAGE ANALYSIS; MALE; MORPHOLOGY; MOUSE; NEUROIMAGING; NONHUMAN; POLYMERIZATION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; SIGNAL NOISE RATIO; THREE DIMENSIONAL IMAGING;

ANIMALS; DENDRITIC SPINES; DISEASE MODELS, ANIMAL; HUMANS; HUNTINGTON DISEASE; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICE; MICE, MUTANT STRAINS; MICE, TRANSGENIC; MICROSCOPY, CONFOCAL; NERVE TISSUE PROTEINS; SOFTWARE;

MUS;

EID: 84862864841     PISSN: 18632653     EISSN: 18632661     Source Type: Journal    
DOI: 10.1007/s00429-011-0340-y     Document Type: Article

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