Undesirable shading across the field-of-view, which can be a prominent phenomenon in microscopy and may occur due to non-uniform illumination, inhomogeneous detector sensitivity, or non-specific sample staining, can be largely eliminated with the shading compensation filters. Eliminating shading is frequently necessary for subsequent processing, especially when quantification is the final goal.
A good indication that a dataset requires shading correction can be provided by the intensity profile of rulers drawn across the image. Eliminating shading may be required if linear regression, as shown below, is apparent (see Profiling Intensity).
Intensity profile before (in red) and after shading correction (in blue)
Typically used to correct problems created by non-uniform illumination, this filter uses a radial basis function to correct image shading. You should note that the Manual RBF filter requires at least three(3) seed points to be placed in representative regions on an image slice and that corrections are applied in the X and Y axes only. If corrections are required in another direction, you will need to transform the data.
Do the following to add seed points:
Click the Go to Ref button to return to the reference slice if you navigated from the slice to which you added your seed points.
Do the following to edit seed points:
Action | State | Key | Mouse |
---|---|---|---|
Create points for RBF filter |
OrsHandlePointForRBFFilter |
|
Left mouse |
Edit points for RBF filter |
OrsHandlePointForFilterEdit |
|
Left mouse |
This filter uses a third degree polynomial to correct uneven shading.