Issue No. 04 - July-Aug. (2013 vol. 33)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2013.55
J. Beyer , King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
M. Hadwiger , King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
A. Al-Awami , King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
Won-Ki Jeong , Ulsan Nat. Inst. of Sci. & Technol., Ulsan, South Korea
N. Kasthuri , Harvard Univ., Cambridge, MA, USA
J. W. Lichtman , Harvard Univ., Cambridge, MA, USA
H. Pfister , Harvard Univ., Cambridge, MA, USA
Recent advances in high-resolution microscopy let neuroscientists acquire neural-tissue volume data of extremely large sizes. However, the tremendous resolution and the high complexity of neural structures present big challenges to storage, processing, and visualization at interactive rates. A proposed system provides interactive exploration of petascale (petavoxel) volumes resulting from high-throughput electron microscopy data streams. The system can concurrently handle multiple volumes and can support the simultaneous visualization of high-resolution voxel segmentation data. Its visualization-driven design restricts most computations to a small subset of the data. It employs a multiresolution virtual-memory architecture for better scalability than previous approaches and for handling incomplete data. Researchers have employed it for a 1-teravoxel mouse cortex volume, of which several hundred axons and dendrites as well as synapses have been segmented and labeled.
Data visualization, Neuroscience, Image resolution, Rendering (computer graphics), Microscopy, Streaming media, Medical image processing
J. Beyer et al., "Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams," in IEEE Computer Graphics and Applications, vol. 33, no. 4, pp. 50-61, 2013.