Deconvolution
Airyscan Joint Deconvolution
The Airyscan Joint Deconvolution method provides an alternative processing of Airyscan data for even higher resolution. An unprocessed Airyscan file needs to be selected as an input file.
Airyscan Joint Deconvolution enables you to adjust the strength of the processing by defining the number of iterations or additionally the quality threshold. Note that overdoing the processing strength can result in artificially small structures, or splitting of solid structures.
Once processing is complete, review the output. Check the image Info view to see the number of iterations actually used, which can be informative especially if you have set a Quality Threshold. Save the processed image file with a new name to preserve the original unprocessed file for potential re-evaluation or different processing attempts. Ensure that the parameters are set according to the specifics of your sample and imaging requirements to avoid artifacts such as artificially small structures or splitting of solid structures.
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Parameter |
Description |
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|---|---|---|
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Start with Last Result |
Activated: Keeps the iteration result and adds additional iterations instead of starting the processing from the beginning again. Should be done with the same Pixel Upsampling setting. |
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Pixel Upsampling |
Activated: Increases the sampling of output image by the factor of two for the best resolution. |
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Sample Structure |
Sets the default value for typical sample types (different preset values for SR and MPLX data). |
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– |
Sparse |
Sets the default value for a sample with small structures and lots of black background (e.g. beads). |
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– |
Standard |
Sets the default value for a standard sample. |
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– |
Dense |
Sets the default value for a sample with lots of structures and little background. |
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Maximum Iterations |
Sets the number of maximum iterations. This input is connected to the Quality Threshold parameter. If the Quality Threshold is set to 0, the number of iterations are processed as set here. If a threshold greater 0 is defined, the set number of iterations will not always be used, but processing stops if a certain resolution quality is achieved. The number of actual iterations is documented in the image Info view. |
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Quality Threshold |
Sets the threshold for quality. This input is connected to the Maximum Iterations parameter. |
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See also
Deblurring
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.
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Parameter |
Description |
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|---|---|---|
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Normalization |
Only visible for Direct Processing. |
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– |
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. |
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– |
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. |
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Strength |
Sets the strength of the out of focus neighbor that is being subtracted. A higher value results in less background. |
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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. |
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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. |
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See also
Deconvolution (defaults)
Results with Direct Processing
Using deconvolution with Direct Processing may deliver different results than processing the image with the function on the Processing tab after acquisition. When processing the image offline with the Processing tab, the PSFs of all channels are stored in a single image document, with the maximum boundaries for all channels. When processing the image during acquisition with Direct Processing, each PSF is computed independently with its own boundaries. In Direct Processing, there is also no knowledge regarding which channel will come next or the maximum size of the PSF.
This method allows you to use four different algorithms for deconvolution, without any further settings. The following algorithms are provided in the Parameter tool:
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Parameter |
Description |
|---|---|
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Simple, very fast (Nearest Neighbor) |
Only available, if a z-stack is selected as input image. |
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Better, fast (Regularized Inverse Filter) |
Executes the Regularized Inverse Filter algorithm for image enhancement. |
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Good, medium speed (Fast Iterative) |
Executes the Fast Iterative restoration method. |
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Excellent, slow (Constrained Iterative) |
Only available if you have licensed the Deconvolution functionality. |
See also
LSM DCV Processing
This method provides an alternative processing of confocal data for even higher resolution. An unprocessed confocal file needs to be selected as an input file.
LSM Deconvolution enables you to adjust the strength of the processing by defining the number of iterations or additionally the quality threshold. Note that overdoing the processing strength can result in artificially small structures, or splitting of solid structures.
Once processing is complete, review the output. Check the image Info view to see the number of iterations actually used, which can be informative especially if you have set a Quality Threshold. Save the processed image file with a new name to preserve the original unprocessed file for potential re-evaluation or different processing attempts. Ensure that the parameters are set according to the specifics of your sample and imaging requirements to avoid artifacts such as artificially small structures or splitting of solid structures.
|
Parameter |
Description |
|
|---|---|---|
|
Start with Last Result |
Activated: Keeps the iteration result and adds additional iterations instead of starting the processing from the beginning again. Should be done with the same Pixel Upsampling setting. |
|
|
Pixel Upsampling |
Activated: Increases the sampling of output image by the factor of two for the best resolution. |
|
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Sample Structure |
Sets the default value for typical sample types. |
|
|
– |
Sparse |
Sets the default value for a sample with small structures and lots of black background (e.g. beads). |
|
– |
Standard |
Sets the default value for a standard sample. |
|
– |
Dense |
Sets the default value for a sample with lots of structures and little background. |
|
Maximum Iterations |
Sets the number of maximum iterations. This input is connected to the Quality Threshold parameter. If the Quality Threshold is set to 0, the number of iterations are processed as set here. If a threshold greater 0 is defined, the set number of iterations will not always be used, but processing stops if a certain resolution quality is achieved. The number of actual iterations is documented in the image Info view. |
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Quality Threshold |
Sets the threshold for quality. This input is connected to the Maximum Iterations parameter. |
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PSF Wizard
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Parameter |
Description |
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Use Wizard |
Activated: Opens the Measured PSF Wizard when applying the function to create a PSF. |
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Bad Pixel Correction |
Employs a fully automatic detection and removal of spurious or hot pixels (also known as stuck pixels) in an image stack which might interfere with the PSF extraction procedure. It is based on the analysis of the gray level variance in the neighborhood of each pixel in the image. It is usually recommended to leave this parameter active. |
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Bead Proximity |
Only visible if Use Wizard is deactivated. |
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Detection Sensitivity |
Only visible if Use Wizard is deactivated. |
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Average Beads |
Only visible if Use Wizard is deactivated. |