Alpha_Mesh_Swc: automatic and robust surface mesh generation from the skeleton description of brain cells.

ABSTRACT: In recent years, there has been a significant increase in publicly available skeleton descriptions of real brain cells from laboratories all over the world. In theory, this should make it is possible to perform large-scale realistic simulations on brain cells. However, currently there is still a gap between the skeleton descriptions and high-quality simulation-ready surface and volume meshes of brain cells. We propose and implement a tool called Alpha_Mesh_Swc (AMS) to generate automatically and efficiently triangular surface meshes that are optimized for finite element simulations. We use an Alpha Wrapping method with an offset parameter on component surface meshes to efficiently generate a global watertight mesh. Then mesh simplification and re-meshing are used to produce an optimal surf

SUBMITTER: McSweeney-Davis A 

PROVIDER: S-EPMC12146268 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature