AutoDeblur® offers the most powerful Deconvolution tools available, including AutoQuant® 's proprietary Blind Deconvolution . The Blind Deconvolution
algorithm is both iterative and constrained, yet unlike other deconvolution products, it does not require the manual calibration and measurement of the point spread function (PSF). Instead, it constructs the PSF
directly from the collected data set. AutoDeblur® works with Widefield Epi-Fluorescence, DIC, Transmitted-Light Brightfield and most Confocal microscopes including Two-Photon and Spinning Disk.
known as "deblurring" or 3D image restoration, deconvolution is a computational technique for removing out-of-focus haze from stacks of optical sections. The out-of-focus haze can be mathematically
modeled as a "point spread function (PSF)". Deconvolution methods can therefore be thought of as methods for inverting the unavoidable and natural blurring effect of the point spread function. Hence,
the purpose of deconvolution is to remove haze and blur and restore the sharpness and clarity to an image.
Blind Deconvolution is a term that is used to describe methods of deconvolution which do not require
the point spread function (PSF) of the system to be explicitly known prior to the deconvolution.