Actorclasses for many commonly-used data types: Actors. However, before you can use brainrender to visualize your data, you'll have to load and process them to put them into a format that brainrender accepts. These are the main steps you'll have to undertake to visualize your data.
.h5files, numpy for
Neuronclass can load morphology data directly from this file format, but head to morphapi for more details about to load and process neuron morphology data.
.tiffetc. Brainglobe provides a general purpuse software tool for loading and saving image data: imio. You can use imio to load most types of data (e.g.
.npyfile, brainrender's Volume actor can load the file directly:
vedoprovides code to go from volumes to meshes:
.jsonand loaded with pandas's
read_jsonfunction. Data should be organized in a hierarchical structure with two main entries (
lines) denoting the injection points and the coordinates of points along each "line" of the streamlines. Each line should be a list of dictionaries with "x", "y" and "z" coordinates.