This paper presents an example of how existing visualization methods can be successfully applied { after minor modi cations { for allowing new, sometimes unexpected insight in scienti c questions, in this case for better understanding unknown, microscopic biological structures. We present a volume rendering system supporting the visualization of LCM datasets, a new microscopic tomographic method allowing for the rst time accurate and fast in-vivo inspection of the spatial structure of microscopic structures, especially important in (but not restricted to) biology. The speed, exibility and versatility of the system allows fast, convenient, interactive operation with large datasets on small computers (workstation or PC). By testing di erent datasets we have been able to signi cantly improve the performance of understanding the internal structure of LCM data. Most important, we have been able to show static and dynamic structures of cells never seen before and allowing signi cant insight...
Georgios Sakas, Michael G. Vicker, Peter Jörg