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Proceedings Paper

A robust approach for intensity loss compensation of TIRF microscopy images
Author(s): Xiangping Wu; Linwei Chen; Fangmin Yu
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Paper Abstract

TIRF microscopy is becoming increasingly popular in cell and molecular biology and opens a challenging computer vision application domain. However, time-lapse images, acquired by TIRF microscopy imaging system suffer the problem of intensity loss due to photobleaching. In this paper, TIRF images were segmented by a Gaussian mixture model into foreground and background. Parameters of the model were estimated through the expectation maximization. Finally, the restored image was wrapped backward to reference frame with the help of foreground parameters. The experimental results showed that the corrected images were effectively compensated and maintained a relatively constant intensity along time.

Paper Details

Date Published: 5 December 2011
PDF: 5 pages
Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050Q (5 December 2011); doi: 10.1117/12.900506
Show Author Affiliations
Xiangping Wu, China Jiliang Univ. (China)
Linwei Chen, China Jiliang Univ. (China)
Fangmin Yu, Acon Biotech Co. Ltd. (China)


Published in SPIE Proceedings Vol. 8005:
MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing

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