DocumentCode :
2355591
Title :
High content image sequence analysis for quantifying calcium signals inside cells with mutant presenilin-1 of familial alzheimer disease
Author :
Li, Fuhai ; Zhou, Xiaobo ; Zhu, Jinmin ; Ma, Jinwen ; Wong, Stephen T C
Author_Institution :
Harvard Med. Sch., Boston
fYear :
2007
fDate :
8-9 Nov. 2007
Firstpage :
31
Lastpage :
34
Abstract :
Mutation of presenilin-1 (PS-1) gene is known to be closely related to the familial Alzheimer disease (FAD), whereas oxidative stress and de-regulation of calcium homeostasis are two important phases. To better understand the biological mechanisms between the two important phases, we present a computerized system of automated high content, time-lapse cellular image sequence analysis to quantify calcium signals inside the single cells with PS-1. The proposed system consists of three major components: cell segmentation, image displacement correction, and calcium signal extraction, denoising, and oscillation detection; some new algorithms are implemented. The validation indicates that the proposed system is effective and reliable. Two patterns of calcium signals: stable and temporal (oscillation) are found in this study. The experimental results confirm the hypothesis that H2O2 has regulatory effect on the calcium signal mediated by PS-1.
Keywords :
biomedical optical imaging; biomembrane transport; calcium; diseases; image denoising; image segmentation; image sequences; medical image processing; oscillations; Ca; calcium homeostasis; calcium signal extraction; calcium signals; cell segmentation; denoising; familial Alzheimer disease; gene mutation; high content image sequence analysis; image displacement correction; mutant presenilin-1; oscillation detection; oxidative stress; Alzheimer´s disease; Bioinformatics; Biomedical imaging; Calcium; Cells (biology); Image segmentation; Image sequence analysis; Pathology; Signal analysis; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Life Science Systems and Applications Workshop, 2007. LISA 2007. IEEE/NIH
Conference_Location :
Bethesda, MD
Print_ISBN :
978-1-4244-1813-8
Electronic_ISBN :
978-1-4244-1813-8
Type :
conf
DOI :
10.1109/LSSA.2007.4400877
Filename :
4400877
Link To Document :
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