5 December 2011 A robust approach for intensity loss compensation of TIRF microscopy images
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Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 80050Q (2011) https://doi.org/10.1117/12.900506
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
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Xiangping Wu, Linwei Chen, Fangmin Yu, "A robust approach for intensity loss compensation of TIRF microscopy images", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050Q (5 December 2011); doi: 10.1117/12.900506; https://doi.org/10.1117/12.900506
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