Rapid reconstruction of 3D neuronal morphology from light microscopy images with augmented rayburst sampling.

ABSTRACT: Digital reconstruction of three-dimensional (3D) neuronal morphology from light microscopy images provides a powerful technique for analysis of neural circuits. It is time-consuming to manually perform this process. Thus, efficient computer-assisted approaches are preferable. In this paper, we present an innovative method for the tracing and reconstruction of 3D neuronal morphology from light microscopy images. The method uses a prediction and refinement strategy that is based on exploration of local neuron structural features. We extended the rayburst sampling algorithm to a marching fashion, which starts from a single or a few seed points and marches recursively forward along neurite branches to trace and reconstruct the whole tree-like structure. A local radius-related but size-independ

SUBMITTER: Ming X 

PROVIDER: S-EPMC3877282 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature