doi:10.3850/978-981-08-7615-9_FI08


Feature-Enhanced Hybrid Rendering of 3D Laser Scanning Confocal Microscopy Image


Kuleesha and Lin Fenga

School of Computer Engineering, Nanyang Technological University, Singapore.

aasflin@ntu.edu.sg

ABSTRACT

We explore feature enhancement and hybrid rendering techniques for visualization of a 3D Laser Scanning Confocal Microscopy (LSCM) image. Hybrid rendering helps to identify and understand the spatial relationship of microstructures and interaction between molecules as well. Feature enhancement involves extraction of the important biological structures by making use of the fluorescence cellular imaging technique. The localization of the fluorophore determines the area of interest. Using various preprocessing and morphological filters the features are extracted and their isosurfaces are rendered. By differentiating multiple fluorophores, features are distinguished using different isosurfaces. Meanwhile, composite ray casting technique is developed for volume rendering, and transfer function is generated to set the color and opacity of the volume to get better visualization. Finally, both isosurfaces and volumetric contents are visualized using a hybrid renderer. The new algorithm is implemented based on the Insight Toolkit and Visualization Toolkit libraries.



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