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This paper presents a framework for histology data visualization based on simplex spline models, which can reconstruct and represent a volumetric histology data for more accurate measurement and analysis. The scanned 2D histology image stacks are first co-registered and segmented to highlight and enhance regions of interests. Then we use our simplex spline based fitting techniques for reconstruction of the segmented 3D volume. Our mathematical framework facilitates tools to quantitatively measure with high accuracy geometric, topological, and other quantities associated with the volumetric histology data. Visualization of the reconstructed data is also faster and more accurate.