Testing for nonrandom shape similarity between sister cells using automated shape comparison

Monica Guo; Wallace F. Marshall

doi:10.1117/12.812418

3 March 2009 Testing for nonrandom shape similarity between sister cells using automated shape comparison

Monica Guo, Wallace F. Marshall

Proceedings Volume 7184, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVI; 71840X (2009) https://doi.org/10.1117/12.812418
Event: SPIE BiOS, 2009, San Jose, California, United States

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.

Citation Download Citation

Monica Guo and Wallace F. Marshall "Testing for nonrandom shape similarity between sister cells using automated shape comparison", Proc. SPIE 7184, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVI, 71840X (3 March 2009); https://doi.org/10.1117/12.812418

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available