TY - GEN
T1 - FluoRender: An application of 2D image space methods for 3D and 4D confocal microscopy data visualization in neurobiology research
AU - Wan, Yong
AU - Otsuna, Hideo
AU - Chien, Chi-Bin
AU - Hansen, Charles
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2012/2
Y1 - 2012/2
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/598346
UR - http://ieeexplore.ieee.org/document/6183592/
UR - http://www.scopus.com/inward/record.url?scp=84860660545&partnerID=8YFLogxK
U2 - 10.1109/PacificVis.2012.6183592
DO - 10.1109/PacificVis.2012.6183592
M3 - Conference contribution
SN - 9781467308663
SP - 201
EP - 208
BT - 2012 IEEE Pacific Visualization Symposium
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -