E. Bittar, A. Benassarou, L. Lucas, E. Elias, P. Tchelidze, D. Ploton, and M.-F. O'Donohue
biomedical imaging, 4D visualization, direct volume rendering, isosurfacing, deformable model, feature tracking.
Due to recent developments in genetic engineering, cell biologists are now able to obtain cell-lines expressing fusion proteins constituted with a protein of interest and with an autofluorescent protein: GFP. By observing such living cells with a confocal microscope, it is possible to study their space-time behavior. This application paper presents a case study in which a number of visualization techniques have been applied to analyze a specific problem in cell biology: the fusion protein during the action of anticancerous drugs. The spatial complexity of the data required to use a large number of representation techniques to help biologists to understand, describe and explain what occurs. In particular, we describe a general framework based on a deformable model and discuss how it can be used to help to visualize 3D time-varying complex objects in volumetric image sequences. Our method is illustrated by experimental results on real confocal cell data. CR Categories and Subject Descriptors: I.3.3 [Computer Graphics]: Picture/Image Generation - Viewing Algorithms; I.3.6 [Computer Graphics]: Methodology and Techniques - Integration Techniques. Additional
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