Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

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

Keywords

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

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 August 10, 2022)
Created December 3, 2013, Updated February 19, 2017