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Publication Citation: Testing Equality of Cell Populations Based on Shape and Geodesic Distance

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Author(s): Robert C. Hagwood; Javier Bernal; Michael W. Halter; John T. Elliott;
Title: Testing Equality of Cell Populations Based on Shape and Geodesic Distance
Published: December 03, 2013
Abstract: Image cytometry has emerged as a valuable in-vitro screening tool and advances in automated microscopy have made it possible to readily analyze large cellular populations of image data. A statistical procedure to study homogeneity of such data is addressed in this paper. In particular, nonparametric test procedures based on geodesic distances between cell shapes are presented and analyzed for testing equality of cell populations.
Citation: IEEE Transactions on Medical Imaging
Keywords: shape space,geodesics,nearest neighbor distance,minimum spanning tree,energy test
Research Areas: Statistics
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