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Proceedings Paper

Testing for nonrandom shape similarity between sister cells using automated shape comparison
Author(s): Monica Guo; Wallace F. Marshall
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Paper Abstract

Several reports in the biological literature have indicated that when a living cell divides, the two daughter cells have a tendency to be mirror images of each other in terms of their overall cell shape. This phenomenon would be consistent with inheritance of spatial organization from mother cell to daughters. However the published data rely on a small number of examples that were visually chosen, raising potential concerns about inadvertent selection bias. We propose to revisit this issue using automated quantitative shape comparison methods which would have no contribution from the observer and which would allow statistical testing of similarity in large numbers of cells. In this report we describe a first order approach to the problem using rigid curve matching. Using test images, we compare a pointwise correspondence based distance metric with a chamfer matching strategy and find that the latter provides better correspondence and smaller distances between aligned curves, especially when we allow nonrigid deformation of the outlines in addition to rotation.

Paper Details

Date Published: 3 March 2009
PDF: 8 pages
Proc. SPIE 7184, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVI, 71840X (3 March 2009); doi: 10.1117/12.812418
Show Author Affiliations
Monica Guo, Univ. of California, San Francisco (United States)
Wallace F. Marshall, Univ. of California, San Francisco (United States)

Published in SPIE Proceedings Vol. 7184:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVI
Jose-Angel Conchello; Carol J. Cogswell; Tony Wilson, Editor(s)

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