A new filter for spot extraction in N-dimensional biological imaging

被引：20

作者：

Biot, Eric ^{[1
,2
]}

Crowell, Elizabeth ^{[1
]}

Hofte, Herman ^{[1
]}

Maurin, Yves ^{[2
]}

Vernhettes, Samantha ^{[1
]}

Andrey, Philippe ^{[2
,3
]}

机构：

[1] INRA, Biol Cellulaire Lab, Inst Jean Pierre Bourgin, F-78026 Versailles, France

[2] INRA UMR 1197, Lab Neurobiol Olfact & Prise Alimentaire, Anal & Modelisat Imagerie Biol, Jouy En Josas, France

[3] Univ Paris 06, Paris, France

来源：

2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4 | 2008年

关键词：

confocal microscopy; cellular imaging; spot detection; spatial distribution;

D O I：

10.1109/ISBI.2008.4541161

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In confocal cellular imaging, fluorescent markers are used to label target structures. These elements of interest frequently appear as spots within a noisy background. Several algorithms have been proposed to extract spots in such conditions. However, specific methods are required when other structures are also labelled. In this paper, a new spot extraction filter is proposed to discriminate between spots and other structures using the shape of the local spatial intensity distribution. Preliminary results in the analysis of the intra-cellular distribution of the KORRIGAN I protein in plant cells are presented. Very low detection error rates are reported.

引用

页码：975 / 978

页数：4

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