Abstract
Voxelation and gene expression tomography or GET are novel methods for the high-throughput acquisition of gene expression patterns in the mammalian brain. Voxelation employs analysis of spatially registered voxels (cubes), while GET employs analysis of sets of parallel slices rotated about multiple independent axes of rotation. Both methods employ reconstruction of the data to result in multiple volumetric maps of gene expression analogous to those obtained from biomedical imaging techniques. Here, we describe the methodologies underlying voxelation and GET and briefly outline the insights that can be obtained from these approaches.
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