AutoDeblur® Deconvolution Software

All microscopes are limited by the laws of physics, and these laws state that when light passes through a medium, that light will bend. This is one of the most common causes of haze and blur in microscopy images. Deconvolution can correct this problem, not only removing the haze and blur, but restoring vital detail to datasets.

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.
Also 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.