Automated computation of arbor densities: A step toward identifying neuronal cell types

Frontiers in Neuroanatomy

Volumn 8, Issue NOV, 2014, Pages

  Sümbül, Uygar ^a,b   Zlateski, Aleksandar ^c   Vishwanathan, Ashwin ^a   Masland, Richard H ^b   Sebastian Seung, H ^d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c USA   (United States)

^d Princeton University   (United States)

Author keywords

Cell types; Classification; Laminar structures; Reconstruction; Retinal ganglion cells; Stratification

Indexed keywords

JUNCTIONAL ADHESION MOLECULE B;

ARTICLE; AUTOMATION; CELL DENSITY; CHI SQUARE TEST; COMPUTER ANALYSIS; CONFOCAL MICROSCOPY; IMAGE RECONSTRUCTION; INTERNEURON; LEARNING ALGORITHM; MEDICAL INFORMATICS; MORPHOLOGICAL TRAIT; MOUSE; NERVE CELL; NERVE CELL NETWORK; NEURAL CREST; NONHUMAN; RETINA AMACRINE CELL; RETINA GANGLION CELL; RETINA INNER PLEXIFORM LAYER; SIGNAL NOISE RATIO; WILCOXON SIGNED RANKS TEST;

EID: 84912121216     PISSN: None     EISSN: 16625129     Source Type: Journal    
DOI: 10.3389/fnana.2014.00139     Document Type: Article

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