Deconvolution is a computational method used to reduce out-of-focus fluores
cence in three-dimensional (3D) microscope images. It can be applied in pri
nciple to any type of microscope image but has most often been used to impr
ove images from conventional fluorescence microscopes. Compared to other fo
rms of 3D light microscopy, like confocal microscopy, the advantage of deco
nvolution microscopy is that it can be accomplished at very low light level
s, thus enabling multiple focal-plane imaging of light-sensitive living spe
cimens over long time periods. Here we discuss the principles of deconvolut
ion microscopy, describe different computational approaches for deconvoluti
on, and discuss interpretation of deconvolved images with a particular emph
asis on:what artifacts may arise. (C) 1999 Academic Press.