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    FluoRender: An application of 2D image space methods for 3D and 4D confocal microscopy data visualization in neurobiology research

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    Type
    Conference Paper
    Authors
    Wan, Yong
    Otsuna, Hideo
    Chien, Chi-Bin
    Hansen, Charles
    KAUST Grant Number
    KUS-C1-016-04
    Date
    2012-02
    Permanent link to this record
    http://hdl.handle.net/10754/598346
    
    Metadata
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    Abstract
    2D image space methods are processing methods applied after the volumetric data are projected and rendered into the 2D image space, such as 2D filtering, tone mapping and compositing. In the application domain of volume visualization, most 2D image space methods can be carried out more efficiently than their 3D counterparts. Most importantly, 2D image space methods can be used to enhance volume visualization quality when applied together with volume rendering methods. In this paper, we present and discuss the applications of a series of 2D image space methods as enhancements to confocal microscopy visualizations, including 2D tone mapping, 2D compositing, and 2D color mapping. These methods are easily integrated with our existing confocal visualization tool, FluoRender, and the outcome is a full-featured visualization system that meets neurobiologists' demands for qualitative analysis of confocal microscopy data. © 2012 IEEE.
    Citation
    Wan Y, Otsuna H, Chien C-B, Hansen C (2012) FluoRender: An application of 2D image space methods for 3D and 4D confocal microscopy data visualization in neurobiology research. 2012 IEEE Pacific Visualization Symposium. Available: http://dx.doi.org/10.1109/PacificVis.2012.6183592.
    Sponsors
    This publication is based on work supported by Award No.KUS-C1-016-04, made by King Abdullah University of Scienceand Technology (KAUST), DOE SciDAC:VACET, NSFOCI-0906379, NIH-1R01GM098151-01. We also wish to thankthe reviewers for their suggestions, and thank Chems Touatiof SCI for making the demo video.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2012 IEEE Pacific Visualization Symposium
    DOI
    10.1109/PacificVis.2012.6183592
    ae974a485f413a2113503eed53cd6c53
    10.1109/PacificVis.2012.6183592
    Scopus Count
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