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

Yong Wan, Hideo Otsuna, Chi-Bin Chien, Charles Hansen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

63 Scopus citations

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.
Original languageEnglish (US)
Title of host publication2012 IEEE Pacific Visualization Symposium
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages201-208
Number of pages8
ISBN (Print)9781467308663
DOIs
StatePublished - Feb 2012
Externally publishedYes

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