This is a mathematical processing of images to reduce the blur from out of focus light. This increases the signal:noise ratio of the image. There are two main types of deconvolution:

Deblurring/nearest neighbor uses a mathematical process to estimate the blur from other focal planes and remove it. This sharpens the image but is non-quantitative.

Restoration is more computational intensive and works best with 3D data sets. The software uses an iterative mathematical process to reassign the photons.

duke lmcf deconvolution example huygens svi
Before (left) and after (right) deconvolution.

The images is from the Huygens website. Huygens deconvolution software is available in on the FFSC analysis workstation.