First test pyMGL application: visualizing nearest neighbor search optimization within a point|vector|loci set using the “hanging moss” concept using standard fixed size pixels/voxels.

Flickering resolved through a node that deals with redrawing the data.

Key ides:
Voxel for nearest neighbor optimization (hanging moss concept)
– Inivisible grid storing points
– Kernal to search for voxels

Points with vector (direction and magnitude)
Angle deviation (i.e. +/- 30) applied to vector to each iteration