Date of Award

Fall 12-11-2012

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematics and Statistics

First Advisor

Yuanhui Xiao

Second Advisor

Yi Jiang

Third Advisor

Yichuan Zhao

Abstract

Retinal pigment epithelium (RPE) is a key site of pathogenesis of age-related macular degeneration (AMD). A key first step toward developing statistical quantifications of RPE morphology is image analysis of RPE flatmount. This thesis work aims to facilitate image analysis by developing a procedure for automated selecting regions with biological information from flatmount images. Our new approach, based on clustering analysis, can extract informative regions from a typical flatmount image of a mouse eye within one minute, a three order magnitude time saving improvement from the current manual procedure. This method is already contributing to the image analysis of RPE flatmounts.

DOI

https://doi.org/10.57709/3484679

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