Table of Contents
International Journal of Molecular Imaging
Volume 2011 (2011), Article ID 723283, 11 pages
http://dx.doi.org/10.1155/2011/723283
Research Article

Molecular Image Analysis: Quantitative Description and Classification of the Nuclear Lamina in Human Mesenchymal Stem Cells

1Department of Imaging Science & Technology, Delft University of Technology, Lorentzweg 1, 2628 CJ Delft, The Netherlands
2Department of Human Genetics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
3Faculty of Science and Technology, University of Twente, 7500 AE Enschede, The Netherlands
4Department of Molecular Cell Biology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands

Received 22 December 2009; Revised 14 April 2010; Accepted 14 May 2010

Academic Editor: Guy Bormans

Copyright © 2011 Christiaan H. Righolt et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The nuclear lamina is an intermediate filament network that provides a structural framework for the cell nucleus. Changes in lamina structure are found during changes in cell fate such as cell division or cell death and are associated with human diseases. An unbiased method that quantifies changes in lamina shape can provide information on cells undergoing changes in cellular functions. We have developed an image processing methodology that finds and quantifies the 3D structure of the nuclear lamina. We show that measurements on such images can be used for cell classification and provide information concerning protein spatial localization in this structure. To demonstrate the efficacy of this method, we compared the lamina of unmanipulated human mesenchymal stem cells (hMSCs) at passage 4 to cells activated for apoptosis. A statistically significant classification was found between the two populations.