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Testing Equality of Cell Populations Based on Shape and Geodesic Distance



Robert C. Hagwood, Javier Bernal, Michael W. Halter, John T. Elliott


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.
IEEE Transactions on Medical Imaging


shape space, geodesics, nearest neighbor distance, minimum spanning tree, energy test


Hagwood, R. , Bernal, J. , Halter, M. and Elliott, J. (2013), Testing Equality of Cell Populations Based on Shape and Geodesic Distance, IEEE Transactions on Medical Imaging, [online], (Accessed May 23, 2024)


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Created December 3, 2013, Updated February 19, 2017