Three-dimensional imaging by deconvolution microscopy

被引:335
作者
McNally, JG [1 ]
Karpova, T
Cooper, J
Conchello, JA
机构
[1] NCI, Lab Receptor Biol & Gene Express, NIH, Bethesda, MD 20892 USA
[2] Washington Univ, Inst Biomed Comp, St Louis, MO 63110 USA
[3] Washington Univ, Dept Cell Biol, St Louis, MO 63110 USA
来源
METHODS-A COMPANION TO METHODS IN ENZYMOLOGY | 1999年 / 19卷 / 03期
关键词
D O I
10.1006/meth.1999.0873
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Deconvolution is a computational method used to reduce out-of-focus fluorescence in three-dimensional (3D) microscope images. It can be applied in principle to any type of microscope image but has most often been used to improve images from conventional fluorescence microscopes. Compared to other forms of 3D light microscopy, like confocal microscopy, the advantage of deconvolution microscopy is that it can be accomplished at very low light levels, thus enabling multiple focal-plane imaging of light-sensitive living specimens over long time periods. Here we discuss the principles of deconvolution microscopy, describe different computational approaches for deconvolution, and discuss interpretation of deconvolved images with a particular emphasis on:what artifacts may arise. (C) 1999 Academic Press.
引用
收藏
页码:373 / 385
页数:13
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