What is a deconvolution algorithm?
The word “deconvolve” means to “untangle or unwind”. A deconvolution algorithm is a systematic procedure for removing noise or haze from an image. There are several well known deconvolution algorithms that can be applied to microscope images to remove the out-of-focus haze. The easiest to use is the nearest neighbor algorithm. This approach has the advantage of being very fast and yielding very good results. The nearest neighbor algorithm requires a minimum of three slices. Other algorithms include the inverse filter and the constrained iterative. These algorithms will yield slightly more precise results, but require many more slices and more computation time (Agard, 1989).
