To clear up some of the recommendations surroundint deconvolution
software, I think the following information should be noted.

There are four kinds of deconvolution algorithms.

1. "Nearest Neighbor" - will run very fast on even the junkiest computer,
however, does not result in much improvement, and furthermore, does not
preserve brightness ratios.

2. Empirical Point-spread Function - the standard deconvolution software
that most packages offer.  This is potentially the highest-resolution
method but if the empirical point-spread function is not acquired under
incredibly rigorous conditions, the result is worse than nothing.

3. "Calculated Point-spread Function" - this type of algorithm
is usually offered along with packages whose main selling point is
empirical point-spread function.  here instead of acquiring an
empirical psf, the software calculates a point-spread function based on
the optical specs of your microscope (i.e. numerical aperture, wavelength
of light).  the result is OK, but inferior to blind deconvolution.

4. Blind deconvolution.  This is only offered by Autoquant in their
Autodeblur package.  It can be considered the 'sport utility vehicle' of
deconvolution.  Potentially, an empirical point-spread function can give
higher resolution -- just as potentially, a Ferrari can outperform a Jeep.
However, in a real situation you are probably going to have more freedom
and versatility using the Jeep.