Automation of 3D reconstruction of neural tissue from large volume of conventional serial section transmission electron micrographs.
Ontology highlight
ABSTRACT: We describe an approach for automation of the process of reconstruction of neural tissue from serial section transmission electron micrographs. Such reconstructions require 3D segmentation of individual neuronal processes (axons and dendrites) performed in densely packed neuropil. We first detect neuronal cell profiles in each image in a stack of serial micrographs with multi-scale ridge detector. Short breaks in detected boundaries are interpolated using anisotropic contour completion formulated in fuzzy-logic framework. Detected profiles from adjacent sections are linked together based on cues such as shape similarity and image texture. Thus obtained 3D segmentation is validated by human operators in computer-guided proofreading process. Our approach makes possible reconstructions of neu
SUBMITTER: Mishchenko Y
PROVIDER: S-EPMC2948845 | biostudies-literature | 2009 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA