Paper Info
Title
FluoRender: An Application of 2D Image Space Methods for 3D and 4D Confocal Microscopy Data Visualization in Neurobiology Research.
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.
Year
DOI
Venue
2012
10.1109/PacificVis.2012.6183592
PacificVis
Keywords
Field
DocType
application—,j.3 [life and medical sciences],biology and genetics—,microscopy visualization,color mapping,confocal microscopy data visualization,image space method,full-featured visualization system,tone mapping,existing confocal visualization tool,confocal microscopy data,volume visualization quality,volume visualization,neurobiology research,i.3.8 [computer graphics],image space,confocal microscopy,volume rendering,data visualization,optical microscopy,visual system,neurophysiology,data visualisation,qualitative analysis,data analysis
Computer vision,Volume rendering,Data visualization,Color mapping,Computer graphics (images),Visualization,Computer science,Tone mapping,Application domain,Artificial intelligence,Confocal,Compositing
Conference
ISSN
Citations 
PageRank 
2165-8765
7
0.62
References 
Authors
12
4
Name
Order
Citations
PageRank
Y Wan1274.28
Hideo Otsuna2221.81
Chi-Bin Chien310323.21
Charles Hansen415710.59