This study presents a tool, Neuronize, for building realistic three-dimensional models of neuronal cells from the morphological information extracted through computer-aided tracing applications. Neuronize consists of a set of methods designed to build 3D neural meshes that approximate the cell membrane at different resolution levels, allowing a balance to be reached between the complexity and the quality of the final model. The main contribution of the present study is the proposal of a novel approach to build a realistic and accurate 3D shape of the soma from the incomplete information stored in the digitally traced neuron, which usually consists of a 2D cell body contour. This technique is based on the deformation of an initial shape driven by the position and thickness of the first order dendrites. The addition of a set of spines along the dendrites completes the model, building a final 3D neuronal cell suitable for its visualization in a wide range of 3D environments. © 2013 Brito, Mata, Bayona, Pastor, Defelipe and Benavides-piccione.
CITATION STYLE
Brito, J. P., Mata, S., Bayona, S., Pastor, L., DeFelipe, J., & Benavides-Piccione, R. (2013). Neuronize: A tool for building realistic neuronal cell morphologies. Frontiers in Neuroanatomy, (MAY). https://doi.org/10.3389/fnana.2013.00015
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