LSM 710 and LSM 780
LEFT TOOL AREA AND HARDWARE CONTROL TOOLS
Systems
Processing Tab
Carl Zeiss
02/2010 M60-1-0025
e
133
To open the
Deconvolution
tools click
Deconvolution
(Fig. 142).
5.3.12.1
Methods
The
Method
pull down menu (Fig. 142) permits
the selection between the calculation methods
Nearest Neighbour
,
Inverse
and
Iterative
.
(1) Inverse
Filter
The regularized inverse filter generally achieves
better results than the Nearest Neighbor algorithm.
It is well suited to process several image stacks for
a pre-selection of images for the use of the
iterative high-end methods.
(2) Iterative
The best image quality is achieved using the
Constrained Iterative Maximum Likelihood
Algorithm. Increasing the resolution in the image,
especially in the Z-direction, is only possible with
this method. Due to the complex mathematical
method, depending on the image size and the PC
being used the calculation can take up to several
hours.
In the
Inverse
method, the
Restoration Effect
slider permits the noise-to-signal ratio to be
selected between the settings
Weak
(low noise)
and
Strong
(pronounced noise).
(3) Nearest
Neighbor
The Nearest Neighbor method is the simplest and
fastest algorithm which in principle corresponds to
a 3D sharpness filter.
Activation of the
Auto detect
check box will start
a routine for the automatic determination of the
noise level in the entire image part of the Z-Stack
(not available in the
Nearest Neighbour
method).
If
Auto detect
is enabled, the
Restoration Effect
slider is disabled.
The
Iterative
method permits (in addition to the parameters of the
Inverse
method) the maximum
number of iterations to be entered between 1 and 200 under
Maximum Iterations
and the
Auto Stop
function to be activated / deactivated. The
Auto Stop
function interrupts the calculation depending on
the set image improvement (delta between last but one and last cycle in %), no matter whether the value
under
Maximum Iterations
has been achieved or not.
The
Nearest Neighbour
method permits entry of the
Number of Neighbours
and the
Sharpness in
Focus
value in addition to the
Restoration Effect
.
Fig. 142
Deconvolution window