Deblurring is a 2D background removal function based on the nearest neighbor algorithm. In the nearest neighbor method, the input is a 3D image where an in-focus slice is enhanced by subtracting its convolved neighbor(s). For Deblurring, the input is a 2D image. The neighbor is approximated using the 2D out-of-focus PSF from the microscope. It is then subtracted from the 2D input image the same way as the nearest neighbor algorithm.

Parameter

Description

Normalization

Only visible for Direct Processing.
Here you can select how the gray/color values that exceed or fall short of the value range should be dealt with. If you use this method with Direct Processing, only the Clip method is available and preselected.

–

Automatic

Automatically sets the gray levels that exceed or fall short of the predefined gray value range to the lowest or highest gray value (black or white). The effect corresponds to underexposure or overexposure. In certain circumstances some information may therefore be lost.

–

Clip

Normalizes the gray values automatically by clipping them to the available gray value range, for example values greater than the maximum grey value (e.g. 256 for 8 bit) are clipped to that value.

Strength

Sets the strength of the out of focus neighbor that is being subtracted. A higher value results in less background.

Sharpness

Sets the sharpness which is inversely related to the regularization strength. A higher value results in a sharper image. This parameter is only valid for the final deblurring that is done for further refinement of the subtracted image.

Blur Radius

Sets the PSF radius in pixels. The value of radius is proportional to the focal distance. A bigger radius results in less background.