High-throughput Computer Method for 3D Neuronal Structure Reconstruction from the Image Stack of the Drosophila Brain and Its Applications

PLoS Computational Biology

Volumn 8, Issue 9, 2012, Pages

  Lee, Ping Chang ^a   Chuang, Chao Chun ^a,b   Chiang, Ann Shyn ^c   Ching, Yu Tai ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL CENTER FOR HIGH PERFORMANCE COMPUTING   (Taiwan)

^c NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; GRAPH THEORY; IMAGE RECONSTRUCTION; NEURAL NETWORKS; THROUGHPUT;

COMPUTER METHODS; DROSOPHILLA; DROSOPHILLA MELANOGASTER; HIGH-THROUGHPUT; IMAGE STACKS; ITS APPLICATIONS; MODEL ORGANISMS; NEURAL-NETWORKS; NEURONAL STRUCTURE; STRUCTURE RECONSTRUCTION;

NEURONS;

ACCURACY; ALGORITHM; ARTICLE; BRAIN; BRAIN NERVE CELL; CELL STRUCTURE; CONFOCAL LASER MICROSCOPY; DATA BASE; DROSOPHILA MELANOGASTER; HIGH THROUGHPUT COMPUTER METHOD; IMAGE RECONSTRUCTION; NERVE CELL NETWORK; NONHUMAN; PATH GRAPH ALGORITHM; THREE DIMENSIONAL IMAGING;

DROSOPHILA MELANOGASTER;

EID: 84866912879     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002658     Document Type: Article

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