Deconvolution is a mathematical processing method in which computations for the acquired stacks reassign the diffracted light to its original location. Spatial deconvolution can be applied to confocal data, increasing resolution and thus faciliting more profound structural analysis. The quality of deconvolution depends on the quality of the microscopy. 
Two types of artefacts must be considered:
  • diffraction, noise, optical defaults, chromatic/ spherical aberrations ("microscope artefacts")
  • undersampling, clipping, scan artefacts, cross-talk, hot pixels ("acquisition artefacts")
Deconvolution is capable of:
  • increasing Resolution in X, Y and Z (1.5x-4x)
  • increasing Contrast
  • removing Noise


Nyquist table.png



  Recording beads for an experimental PSF.pdf