Journal Article

Quantitative measurement of aging using image texture entropy

Lior Shamir, Catherine A. Wolkow and Ilya G. Goldberg

in Bioinformatics

Volume 25, issue 23, pages 3060-3063
Published in print December 2009 | ISSN: 1367-4803
Published online October 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp571
Quantitative measurement of aging using image texture entropy

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Motivation: A key element in understanding the aging of Caenorhabditis elegans is objective quantification of the morphological differences between younger and older animals. Here we propose to use the image texture entropy as an objective measurement that reflects the structural deterioration of the C.elegans muscle tissues during aging.

Results: The texture entropy and directionality of the muscle microscopy images were measured using 50 animals on Days 0, 2, 4, 6, 8, 10 and 12 of adulthood. Results show that the entropy of the C.elegans pharynx tissues increases as the animal ages, but a sharper increase was measured between Days 2 and 4, and between Days 8 and 10. These results are in agreement with gene expression findings, and support the contention that the process of C.elegans aging has several distinct stages. This can indicate that C.elegans aging is driven by developmental pathways, rather than stochastic accumulation of damage.

Availability: The image data are freely available on the Internet at http://ome.grc.nia.nih.gov/iicbu2008/celegans, and the Haralick and Tamura texture analysis source code can be downloaded at http://ome.grc.nia.nih.gov/wnd-charm.

Contact: shamirl@mail.nih.gov

Journal Article.  3123 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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