NeuroGPS-Tree is a workflow developed to reconstruct a neuronal population from a dense, large-scale data set. NeuroGPS-Tree is suitable for processing image stacks acquired by different image modalities.
Supported image dimension
has interaction level
has programming language
has entry curator
slightly revised MIT License. Note the eigen library of NeuroGPSTree use MPL2 licenses when such situations are specified and documented