FluoRender

FluoRender is an interactive rendering tool for confocal microscopy data visualization. It combines the renderings of multi-channel volume data and polygon mesh data, where the properties of each dataset can be adjusted independently and quickly. The tool is designed especially for neurobiologists, and it helps them better visualize the fluorescent-stained confocal samples.

Research Team:
Yong Wan, Ph.D student
Scientific Computing and Imaging Institute, University of Utah

Hideo Otsuna, Ph.D
Dept. Neurobiology & Anatomy, University of Utah

Chi-Bin Chien
Dept. Neurobiology & Anatomy, University of Utah

Chuck Hansen
Scientific Computing and Imaging Institute, University of Utah