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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|
|PDF version:||Click here to retrieve PDF version of paper (2MB)|