Out-of-focus interference can be removed by computer deconvolution of the digitized image. This is an iterative computational technique in which a stack of focal sections is recorded and the contribution of out-of-focus signal to a given section from structures in other sections is computed and subtracted from that section. This has proved to be a powerful technique where the out-of-focus signal rejection required is not too great. However, it requires that high levels of registration is maintained as a focal series is being recorded. This requirement is often difficult to meet when recording images from living samples that display a high degree of motility.

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