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RAZA / RApid 3D Z-crossings Algorithm

Segments low signal-to-noise ratio (SNR) data typical of 3D reconstructed volumes. RAZA is a detection algorithm that integrates a Laplacian of Gaussian (LoG) kernel, with arbitrary z-crossings and structural finger printing algorithms. It can detect edges in the tomographic volume, the edges are defined as regions exhibiting a “significant change” in voxel intensity compared to their surroundings. It defines each continuous contour within a tomographic volume as a discrete geometric object, as opposed to conducting simple pixel based edge delineation.


Allows users to segment membranes in tomograms. TOMOSEGMEM is an algorithm for membrane segmentation that relies on a simple local membrane model and the local differential structure to determine points whose neighborhood resembles plane-like features. It is composed of several sequential stages, consisting of: (1) isolation of information at a suitable scale and find potential membrane-like features according to local detectors and (2) analysis and integration of the structural information at a global scale.

Amira 3D Software for Life Sciences

Allows users to visualize, manipulate, and understand data from imaging modalities such as computed tomography, microscopy or Magnetic resonance imaging (MRI). Amira 3D Software for Life Sciences provides features to import and process 2D and 3D images data, visualization techniques and tools for visual analysis. Users can also create and share presentations. The base product can be customized by adding functional extensions to fit special needs in different application areas.