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PUBLICATIONS

Testing Equality of Cell Populations Based on Shape and Geodesic Distance

Published

Author(s)

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

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
Pub Type
Journals

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Keywords

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

Citation

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], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911573 (Accessed December 13, 2024)

Issues

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Created December 3, 2013, Updated February 19, 2017