Literature DB >> 16861006

Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks.

Hongmin Cai1, Xiaoyin Xu, Ju Lu, Jeff W Lichtman, S P Yung, Stephen T C Wong.   

Abstract

The branching patterns of axons and dendrites are fundamental structural properties that affect the synaptic connectivity of axons. Although today three-dimensional images of fluorescently labeled processes can be obtained to study axonal branching, there are no robust methods of tracing individual axons. This paper describes a repulsive force based snake model to segment and track axonal profiles in 3D images. This new method segments all the axonal profiles in a 2D image and then uses the results obtained from that image as prior information to help segment the adjacent 2D image. In this way, the segmentation successfully connects axonal profiles over hundreds of images in a 3D image stack. Individual axons can then be extracted based on the segmentation results. The utility and performance of the method are demonstrated using 3D axonal images obtained from transgenic mice that express fluorescent protein.

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Year:  2006        PMID: 16861006     DOI: 10.1016/j.neuroimage.2006.05.036

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  23 in total

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5.  Principal curves as skeletons of tubular objects: locally characterizing the structures of axons.

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Review 6.  Neuronal tracing for connectomic studies.

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7.  A broadly applicable 3-D neuron tracing method based on open-curve snake.

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Journal:  Neuroinformatics       Date:  2011-09

8.  Automated reconstruction of dendritic and axonal trees by global optimization with geometric priors.

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9.  MDL constrained 3-D grayscale skeletonization algorithm for automated extraction of dendrites and spines from fluorescence confocal images.

Authors:  Xiaosong Yuan; Joshua T Trachtenberg; Steve M Potter; Badrinath Roysam
Journal:  Neuroinformatics       Date:  2009-12-11

10.  Reconstruction of the neuromuscular junction connectome.

Authors:  Ranga Srinivasan; Qing Li; Xiaobo Zhou; Ju Lu; Jeff Lichtman; Stephen T C Wong
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

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