BrainRAT's goal is to provide an automated and generic toolbox for the processing of histological and autoradiographic sections based on a two-step approach, which involves:
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an optimized digitization including an automated individualization, section number assignment, stacking, and dealing with hundreds of autoradiographic and histological sections (series of individual sections as well as multiple sections digitized in a single acquisition).
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a robust reconstruction algorithm of the volumes based on a reliable registration method (block-matching) enabling 3D reconstruction of a single volume from a series of slices as well as the co-alignment of slices with a reference volume.