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Steffen Prohaska (Zuse Institute Berlin (ZIB), Berlin, Germany)We present the visualization software Amira with a focus on features that are useful in biological research. Amira is a powerful software for visualizing, manipulating, and understanding scientific data coming from all types of sources and modalities, including optical and electron microscopy, CT, MR, ultrasound, protein databases and molecular simulation, as well as all kinds of physical measurements and simulations. Amira provides semi-automatic tools for the reconstruction of geometry from image data. Amira can export models to a simulation software and import simulation results for visualization. Amira is extensible through different means, including an interface to Matlab and the C++ class libraries ITK (image analysis), Qt (GUI programming), and OpenInventor (OpenGL-based scene graph for rendering). We will illustrate Amira's usefulness in two selected research projects. Our first example is a semi-automatic visual analysis tool for the cyto-skeleton in electron tomograms, which we integrated in Amira's filament editor. A second example is the reconstruction and visualization of neuroanatomy on the organ and on the cellular level.