Blue Brain has developed a state-of-the-art modular visualization architecture for large data visualization over a wide range of use cases to deliver an unprecedented capability of viewing, analyzing, validating, troubleshooting and communicating neuroscientific structures and functions.
RTNeuron is a visualization framework for computational neuroscience. At its core there is an OpenGL rendering engine in C++, which provides some advanced rendering features (e.g. parallel rendering, order independent transparency), with a higher level API wrapped in Python.
The power of RTNeuron lies in its domain-specific API designed for the visualization of detailed neuronal circuit models and their simulation results. RTNeuron allows for building custom applications tailored for specific use cases.
Blue Brain’s Brayns interactive ray tracing can highlight areas of the circuits where cells touch each other and where synapses are being created. In combination with ‘global illumination,’ which uses light, shadow, and depth of field effects to simulate photo-realistic images, this technique makes it easier to visualize how the neurons function. Brayns provides an abstraction of the underlying rendering engines, so that the best possible acceleration libraries can be used for the relevant hardware.
As a minimalistic library that allows optimized ray tracing rendering of meshes and parametric geometry, Brayns makes it possible to use the best rendering engine depending on the case.
Blue Brain’s NeuroMorphoVis is an interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
NeuroMorphoVis is based on Blender, but it does not require knowledge of Blender. The source code and documentation are available under the GNU public license on Github.