Exploring the connectome: Petascale volume visualization of microscopy data streams

Johanna Beyer; Markus Hadwiger; Ali K. Al-Awami; Wonki Jeong; Narayanan Kasthuri; Jeff W M D Lichtman; Hanspeter Pfister

doi:10.1109/MCG.2013.55

Exploring the connectome: Petascale volume visualization of microscopy data streams

Johanna Beyer, Markus Hadwiger, Ali K. Al-Awami, Wonki Jeong, Narayanan Kasthuri, Jeff W M D Lichtman, Hanspeter Pfister

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

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. © 1981-2012 IEEE.

Original language	English (US)
Pages (from-to)	50-61
Number of pages	12
Journal	IEEE Computer Graphics and Applications
Volume	33
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2013.55
State	Published - Jul 17 2013

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Software

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10.1109/MCG.2013.55

https://repository.kaust.edu.sa/bitstream/10754/562851/1/Articlefile1.pdf

Cite this

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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. {\textcopyright} 1981-2012 IEEE.",

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AU - Hadwiger, Markus

AU - Al-Awami, Ali K.

AU - Jeong, Wonki

AU - Kasthuri, Narayanan

AU - Lichtman, Jeff W M D

AU - Pfister, Hanspeter

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AB - 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. © 1981-2012 IEEE.

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Exploring the connectome: Petascale volume visualization of microscopy data streams

Abstract

ASJC Scopus subject areas

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