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Issue No.04 - July-Aug. (2013 vol.33)
pp: 50-61
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
ABSTRACT
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.
INDEX TERMS
Data visualization, Neuroscience, Image resolution, Rendering (computer graphics), Microscopy, Streaming media, Medical image processing,computer graphics, petascale-volume exploration, segmented volume data, high-resolution microscopy, high-throughput imaging, neuroscience
CITATION
J. Beyer, M. Hadwiger, A. Al-Awami, Won-Ki Jeong, N. Kasthuri, J. W. Lichtman, H. Pfister, "Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams", IEEE Computer Graphics and Applications, vol.33, no. 4, pp. 50-61, July-Aug. 2013, doi:10.1109/MCG.2013.55
REFERENCES
1. S. Seung, Connectome: How the Brain's Wiring Makes Us Who We Are, Houghton Mifflin Harcourt, 2012.
2. D. Bock et al., “Network Anatomy and In Vivo Physiology of Visual Cortical Neurons,” Nature, vol. 471, no. 7337, 2011 pp. 177-182.
3. W.-K. Jeong et al., “Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets,” IEEE Trans. Visualization and Computer Graphics, vol. 15, no. 6, 2009 pp. 1505-1514.
4. M. Hadwiger et al., “Interactive Volume Exploration of Petascale Microscopy Data Streams Using a Visualization-Driven Virtual Memory Approach,” IEEE Trans. Visualization and Computer Graphics, vol. 18, no. 12, 2012 pp. 2285-2294.
5. K. Engel, “CERA-TVR: A Framework for Interactive High-Quality Teravoxel Volume Visualization on Standard PCs,” Proc. 2011 IEEE Symp. Large-Data Analysis and Visualization (LDAV 11), IEEE, 2011 pp. 123-124.
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