Segmentation of neuronal-cell images from stained fields and monomodal histograms

Pham, Tuan D., and Crane, Denis I. (2005) Segmentation of neuronal-cell images from stained fields and monomodal histograms. In: Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine & Biology Society 2005 (6), pp. 6289-6292. From: 27th Annual International Conference of the IEEE Engineering in Medicine & Biology Society 2005, 1-4 September 2005, Shanghai, China.

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Abstract

Information from images taken of cells being grown in culture with oxidative agents allows life science researchers to compare changes in neurons from the Zellweger mice to those from normal mice. Image segmentation is the major and first step for the study of these different types of processes in cells. In this paper we develop an innovative strategy for the segmentation of neuronal-cell images which are subjected to stains and whose histograms are monomodal. Such nontrival images make it a challenging task for many existing image segmentation methods. We show that the proposed method is an effective and simple procedure for the subsequent quantitative analysis of neuronal images.

Item ID: 14800
Item Type: Conference Item (Refereed Research Paper - E1)
ISBN: 0-7803-8741-4
Date Deposited: 08 Dec 2010 03:49
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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