Structure-preserving noise reduction in biological Imaging

被引：0
|
作者：
Fernandez, J. J. [1 ,2 ]
Li, S. [1 ]
Lucic, V. [3 ]
机构：
[1] MRC, Mol Biol Lab, Hills Rd, Cambridge CB2 2QH, England
[2] Univ Almera, Dept Comp Architecture, Almera, *, Spain
[3] Max Planck Inst Biochem, Dept Biol Struct, Martinsried, Germany
来源：
INNOVATIONS IN HYBRID INTELLIGENT SYSTEMS | 2007年 / 44卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An approach for noise filtering based on anisotropic nonlinear diffusion is presented. The method combines edge-preserving noise reduction with a strategy to enhance local structures and a mechanism to further smooth the background. The performance is illustrated with its application to electron cryotomography, a leading imaging technique for visualizing the molecular architecture of complex biological specimens. A challenging task in this discipline is to increase the extremely low signal-to-noise ratio to allow visualization and interpretation of the three-dimensional structures. The filtering method presented here succeeds in substantially reducing the noise with excellent preservation of the structures.
引用
收藏
页码：385 / +
页数：2
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