Utilities
Add Channels
This method allows you to combine two input images that have different channels but otherwise have the same dimension (Z-stack, tile, scene). An image is produced that contains all the channels of the input images.
If the two input images differ from one another in the dimensions Z-stack, time series, tiles or scene, input image 1 and input image 2 are copied into the output image as two separate blocks.
Airyscan Processing
With this method you can access the super-resolution data in images acquired with Airyscan.
Note that starting with ZEN 2.5 blue edition, the black border of the processed image is automatically removed. Hence the resulting image will be smaller by 24 pixels in X and Y dimension.
Parameters
|
Parameter |
Description |
|---|---|
|
3D Processing |
This option is only available for images with 5 or more z-positions. If activated, this option improves the resolution in axial and lateral direction. The data set needs to have at least 5 z-sections acquired with an optimal step size. 3D Processing is slower than 2D Processing. For 3D Processing, the whole z-stack (single channel and time point) needs to fit into the physical memory. |
|
2D SR Processing |
This function is available for 2D images only. It enhances the 2D resolution. Note this only results in increased superresolution when images are acquired with optimal settings and sufficient signal. |
|
Auto Filter |
If activated, a suitable Super Resolution parameter for the Airyscan processing is automatically determined for the selected data set. To manually adjust the Super Resolution parameter, deactivate the checkbox. Then determine suitable values by using the corresponding function in the Airyscan viewer in the Airyscan view. Note that the preview is only suitable for 2D Airyscan processing. A preview for 3D Airyscan processing is not available. For adjusting 3D processing parameters, you should first process your data set once using the Auto Filter and then check the value that was actually applied by the Airyscan processing function. This value is stored in the metadata of the processed image and can be accessed using the Info view. Note: High strength might look attractive at some images, Z planes or color channels, but other filtering artefacts might occur which appear like small rings in the image. Also, the results will become very sharp, but grainy. So carefully check your image data in order to avoid such artefacts. |
|
Adjust per Channel |
Only visible, when the Auto Filter is deactivated. Only available for images with two or more Airyscan channels. If activated, you can manually set channel-specific Airyscan processing parameters. |
|
Strength |
Use this option for an increased (high) or decreased (low) strength of the automatically assigned filter value. This is especially useful for 3D processing, as the 2D preview of the processing filter value in the Airyscan viewer does not allow to conclude the result after a 3D data processing. The increment of this parameter is ± 0.4 compared to the standard auto Airyscan processing. This setting is not available when manual processing strength is selected. |
Airyscan Sheppard Sum
This method exports your Airyscan data in a 1ch Sheppard sum format. This export does not change the Airyscan data format, but generates an additional data file with just one summed up channel of the Airyscan. Since no filtering or deconvolution is performed, this data format is compatible with many third party or self programed deconvolution or machine learning super-resolution methods.
See also
ApoTome Deconvolution
This method accepts ApoTome raw data only.
It was derived from the Deconvolution module and is available in every licensed version of the software. It contains settings and parameters which make sense for an ApoTome deconvolution only.
Parameter
Find the description of the parameters under: Deconvolution (adjustable) parameters. This method is available for batch processing as well.
ApoTome RAW Convert
This method accepts ApoTome raw data only. The settings are similar to the ones on the ApoTome tab (view option for ApoTome images). The function is also available for batch processing, which makes it easy to convert a series of ApoTome RAW data images into deconvolved images.
|
Parameter |
Description |
|
|---|---|---|
|
Display Mode |
ApoTome images are acquired as raw data. The Display Mode sets how the image is calculated and displayed. |
|
|
– |
Optical sectioning |
The displayed output image is calculated/rendered by eliminating the excitation and emission light that originates in regions outside of the focal plane. |
|
– |
Conventional fluorescence |
The displayed output image is calculated/rendered like a conventional fluorescence image. |
|
– |
Raw data |
Displays the raw data as output image and disables all other parameters of the function. |
|
Correction |
Applies stripe artifact correction to the resulting image. It attempts to remove stripe artifacts which may be caused by bleaching of the sample during acquisition or by slight deviations in the grid phase position. |
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|
– |
No correction |
No correction is applied to the image. |
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– |
Local Bleaching |
Corrects the bleaching for each pixel individually (default setting). This is usually the best method. |
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– |
Global Bleaching |
Corrects bleaching by means of global bleaching correction, which is applied equally to the entire image. |
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– |
Phase Errors |
Corrects phase errors in the image without additional bleaching correction. |
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– |
Phase Errors and Global Bleaching |
Corrects phase errors in the image with additional global bleaching. |
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– |
Phase Errors and Local Bleaching |
Corrects phase errors in the image with additional local bleaching. |
|
Fourier Filter |
The Fourier filter attempts to remove residual stripes. |
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|
– |
Off |
Uses no Fourier filter to remove stripes. |
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– |
Weak |
Uses a weak Fourier filter to remove stripes. |
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– |
Medium |
Uses a medium Fourier filter to remove stripes. |
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– |
Strong |
Uses a strong Fourier filter to remove stripes. |
|
Normalization |
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. |
|
|
– |
Clip |
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. |
|
– |
Automatic |
Normalizes the gray values automatically to the available gray value range. |
See also
Calculate Histogram
This method calculates a histogram distribution for selected measurement parameters of a measurement data table.
Parameters
|
Parameter |
Description |
|
|---|---|---|
|
Columns |
Define the measurement parameters for classification by entering the column numbers freely, e.g. 1,3,5, or 1-6 or 1,3-7,8. |
|
|
Class Boundaries |
Select here, how you want the class boundaries of the calculated histogram to be determined. |
|
|
- |
>=,…,< |
A numerical value falls into the histogram class if it is greater than or equal to the lower class boundary and less than the upper class boundary. |
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- |
>,…,=< |
A numerical value falls into the histogram class if it is greater than the lower class boundary and less than or equal to the upper class boundary. |
|
Automatic Classification |
Activated: The class boundaries are calculated automatically from the data. The value range from the lowest to the highest data value is divided into as many classes of equal width as you have set in the Class Number input field. Example: Minimum value is 0 Class 1: 0 .. 2500 |
|
|
Logarithmic |
Only active, if the Automatic Classification checkbox is activated. Activated: The class boundaries are scaled logarithmic. Example: Minimum value is 0 Class 1: 0 .. 10 |
|
|
Class Count |
Specifies the number of classes that shall be created. |
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|
Display Mode |
Select here, how you want the values of the histogram to be calculated. |
|
|
- |
Count |
The histogram indicates how many data sets fall into the relevant class, it contains the frequency of the values in the class concerned. |
|
- |
Count Cumulative |
The histogram cumulates the counts of values in each class. Class 1 contains the number of values for class 1, class 2 contains the sum of the values from class 1 and class 2, class 3 contains the sum of the values from class 2 and class 3, etc. |
|
- |
Percentage |
The histogram indicates what percentage of the data sets fall into the relevant class, it therefore contains the percentage share of the values in the class concerned. |
|
- |
Percentage Cumulative |
The histogram cumulates the percentage of the count of values in each class. Class 1 contains the percentage for class 1, class 2 contains the sum of the percentages from class 1 and class 2, class 3 contains the sum of the percentages from class 2 and class 3, etc. |
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- |
Sum |
The histogram contains the sum of the numerical values of the data sets that fall into the relevant class, the values of the data sets that fall into the class concerned are therefore added together. |
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- |
Sum Cumulative |
The histogram cumulates the sums of the values in each class. Class 1 contains the sum of the numerical values from class 1, class 2 contains the sum of the numerical values from class 1 and class 2, class 3 contains the sum of the numerical values from class 2 and class 3, etc. |
|
- |
Percentage Sum |
The histogram indicates the percentage share of the total numerical values in the relevant class. |
|
- |
Percentage Sum Cumulative |
The histogram cumulates the percentage of the sums of values of all data points which belong to the class. Class 1 contains the percentage of the total numerical values from class 1, class 2 contains the sum of the percentages of the total numerical values from class 1 and class 2, class 3 contains the sum of the percentages of the total numerical values from class 2 and class 3, etc. |
Change Pixel Type
This method allows you to change the pixel type of an image. This can be useful if you want to compare or combine images that have different pixel types.
|
Parameter |
Description |
|
|---|---|---|
|
Pixel Format |
Select the desired pixel format from the dropdown list. |
|
|
- |
8 Bit B/W |
The output image is a monochrome image, the whole-number gray values of which can lie in the range from 0 to 255. |
|
- |
16 Bit B/W |
The output image is a monochrome image, the whole-number gray values of which can lie in the range from 0 to 65535. |
|
- |
32 Bit B/W Float |
The output image is a monochrome image with real numbers as pixel values. |
|
- |
2x32 Bit Complex |
The output image is a monochrome image with complex numbers (real part and imaginary part) as pixel values. Such images are generally created by means of transformation into the Fourier space. |
|
- |
24 Bit RGB |
The output image is a color image, the whole-number color values of which in the red, green, and blue channels can lie in the range from 0 to 255. |
|
- |
48 Bit RGB |
The output image is a color image, the whole-number color values of which in the red, green, and blue channels can lie in the range from 0 to 65535. |
|
- |
2x32 Bit RGB Float |
The output image is a color image with real numbers as color values in the red, green and blue channels. |
|
- |
3x64 Bit RGB Complex |
The output image is a color image with complex numbers (real part and imaginary part) in the red, green and blue channels. Such images are generally created by means of transformation into the Fourier space. |
Combine RGB
With this method a color image can be generated out of three input images of the single color extractions Red, Green and Blue.
|
Parameter |
Description |
|---|---|
|
Output Pixel type |
Here you choose the desired output image format, e.g. 24 Bit RGB. |
Convert To Lambda
With this function you can convert Lambda stacks which were acquired with LSM 910 into a file with the same appearance as inside the Lambda view. In contrast to the generic raw data format of the Lambda stacks, these files can be opened and analyzed in third party software, including the former ZEN software format ZEN Black.
Copy Annotations
This method copies the annotations of one image into another image.
|
Parameter |
Description |
|---|---|
|
Preserve Scaled Size |
Has an effect if the size of the target image is different from the size of the source image:
|
Copy Image
This method creates a copy of an image. It includes only the image contents; any annotations, measurements, tables etc. are not copied.
Correct Stage Jitter
This method automatically corrects the jitter of the stage which can occur during the acquisition of a Z-stack image.
Correlation
With this function you can, in conjunction with confocal data sets, display the spatial or temporal correlation of an image or image stack. You can select which kind of correlation you want to perform by activating the corresponding checkboxes.
Parameters
|
Parameter |
Description |
|---|---|
|
Cross Correlation |
If activated, you can correlate two images with each other. Note that the second input image needs to have the same dimensionality and size. |
|
X, Y |
Correlates the signal in the X or Y direction. |
|
Z |
Correlates the signal in Z. Only available for data sets containing Z-sections. |
|
Time |
Correlates the signal in time. Only available for time series data sets. |
Create Gray Scale Image
This method allows you to create a gray scale image.
|
Parameter |
Description |
|
|---|---|---|
|
Pattern |
Select the desired pattern for the gray scale image here. |
|
|
- |
Uniform |
All pixels have an identical gray/color value. |
|
- |
2D Gray Scale Vertical |
The gray scale runs from top to bottom, starting with the gray value selected in parameter Min. Gray Value. |
|
- |
2D Gray Scale Horizontal |
The gray scale runs from left to right, starting with the gray value selected in parameter Min. Gray Value. |
|
Width |
Set the desired width of the output image in pixels using the slider or the input field. |
|
|
Height |
Set the desired height of the output image in pixels using the slider or the input field. |
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|
Min. Gray Value |
Set the minimum gray value of the gray scale using the slider or input field. |
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|
Max. Gray Value |
Set the maximum gray value of the gray scale using the slider or input field. |
|
|
Pixel Type |
Select the desired pixel type here. |
|
|
- |
8 Bit B/W |
The output image is a monochrome image whose integer gray values can be in the range of 0 to 255. |
|
- |
16 Bit B/W |
The output image is a monochrome image whose integer gray values can be in the range of 0 to 65535. |
|
- |
24 Bit RGB |
The output image is a color image whose integer color values in the channels Red, Green, Blue can be in the range of 0 to 255. |
|
- |
48 Bit RGB |
The output image is a color image, with integer color values in the color channels Red, Green, Blue can be in the range of 0 to 65535. |
Create Image Subset
Image Analysis Results
Note that if your image contains analysis results, the analysis results are deleted when you execute this function.
Lightfield 4D Raw Data
If you want to use the function with unprocessed Lightfield 4D raw data, you must not extract single phases but have to extract all phases. Lightfield 4D processing always needs the data of all phases (lenses). Additionally, if you want to extract a region, Lightfield 4D raw data images need a minimal region size. A message is displayed in the tool in both situations to indicate the appropriate setting.
This method allows you to extract parts from one image and use these to create a new image. You can select these parts freely from the individual dimensions of the image. Each of the parameter sections is only visible if the corresponding dimension is present in the input image.
|
Parameter |
Description |
|
|---|---|---|
|
Channels |
Selects which channels of the input image are used. All channels are selected by default. To deselect a channel, click on the respective channel button. |
|
|
Z-Position, Time, Block, Scene, Phase |
Here you can select which parts of the input image you want to use for the resulting image. |
|
|
- |
Extract All |
If selected, all parts of the corresponding image are extracted. |
|
- |
Extract Single |
If selected, you can select a single image to be extracted. |
|
- |
Extract Range |
If selected, you can select a certain range of images to be extracted. |
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- |
Extract Multiple |
If selected, you can select several continuous ranges and individual sections. Enter one or more sections that you want to select in the input field. To do this, enter the first section, followed by a minus sign, and then the last section. If you want to define an interval, after the last section enter a colon and then the interval. The entry "2-10:2" means that every second section is selected from section 2 to section 10. Enter a comma after the first section if you want to define another section. You can also select individual sections separated by commas. By entering "2-10:2,14-18,20,23", you select every second section from section 2 to section 10, followed by sections 14 to 18, as well as sections 20 and 23. |
|
- |
Get current position |
Adopts the position from the current display in the image area. |
|
- |
Interval |
Activated: Interval mode is active. The Interval spin box/input field appears. Enter the desired interval here. E.g. if you enter the value 2 only every 2nd value from the range is considered. |
|
Region |
Here you can select if you want to use the entire image or just a region (ROI) of the input image. |
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|
- |
Full |
Select this option to use the full image for the new image. |
|
- |
Rectangle region (ROI) |
Select this option to draw in a rectangle region of interest, which will be used for creating a new image. If a rectangle region was drawn in, you can see and change its coordinates by editing the X/Y/W/H input fields. |
|
- |
Keep tiles |
Only has an effect, if a region (ROI) is defined. Activated: Extracts the drawn in region including the complete tiles. This setting is recommended when you want to apply DCV processing functions on the resulting image. |
Create Image Subset and Split
This method allows you to extract certain dimensions, e.g. channels, regions or time series from one image and use these to create a new image.
Each of the dimensions described below is only visible if the corresponding dimension is present in the input image.
|
Parameter |
Description |
|
|---|---|---|
|
Split Dimension |
Depends on the loaded image. |
|
|
- |
None |
The image is not split by any dimension. Only the ranges of the different dimensions defined below will be extracted for the new image. |
|
- |
Channels (or: Time, Scenes etc.) |
Here you can select the dimension for splitting the data set. A new image document opens in ZEN for each element of the selected dimension. The available options depend on the selected image. If your input image contains two channels, split dimension creates two output images, for each channel one. |
|
Channels |
Here you can select which channels of the input image you want to be used. All channels are selected by default. To deselect a channel, click on the respective channel button. |
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|
Time (or: Z-Position, Rotation, Scene, Illumination, Acquisition block, Mosaic tile, Phase, View) |
||
|
- |
Extract All |
Activated: All elements of the corresponding dimension are extracted. |
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- |
Extract Single |
Activated: You can select a single element to be extracted. |
|
- |
Extract Range |
Activated: You can select a certain range of elements to be extracted. |
|
- |
Extract Multiple |
Activated: You can select several continuous ranges and individual sections. Enter one or more sections that you want to select in the input field. To do this, enter the first section, followed by a minus sign, and then the last section. If you want to define an interval, after the last section enter a colon and then the interval. The entry "2-10:2" means that every second section is selected from section 2 to section 10. Enter a comma after the first section if you want to define another section. You can also select individual sections separated by commas. By entering "2-10:2,14-18,20,23", you select every second section from section 2 to section10, followed by sections 14 to 18, as well as sections 20 and 23. |
|
Region |
||
|
- |
Full |
Takes the full region into account. |
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- |
Rectangle Region |
Takes the rectangle into account that you can draw in the 2D view. After drawing you can modify X, Y coordinates as well as width (W) and height (H) manually. |
|
Keep tiles |
Has only an effect, if a region (ROI) is defined. Activated: Extracts the drawn in region including the complete tiles. This setting is recommended when you want to apply DCV processing functions on the resulting image. Deactivated: Drawn ROI will cut through mosaic tiles. |
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|
Propagate ROI |
Has only an effect, if a region (ROI) is defined in multi-scene images. Activated: Applies the defined region (ROI) to all scenes. |
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For more information, see Creating Image Subset and Split Dimensions.
Create Image Subset and Split (Write files)
This method allows you to extract certain dimensions, e.g. channels, regions or time series from one image and use these extracted dimensions to create a new image. The result file is saved in your target folder.
Each of the dimensions described below is only visible if the corresponding dimension is present in the input image.
Method Parameters
|
Parameter |
Description |
|
|---|---|---|
|
Split Dimension |
Depends on the loaded image. |
|
|
- |
None |
The image is not split by any dimension. Only the ranges of the different dimensions defined below will be extracted for the new image. |
|
- |
Channels (or: Time, Scenes, etc.) |
Here you can select the dimension for splitting the data set. A new file will be created in the target folder for each element of the selected dimension. The available options depend on the selected image. If your input image contains two channels, split dimension creates two output images for each channel. |
|
Channels |
Here you can select which channels of the input image you want to be used. All channels are selected by default. To deselect a channel, click on the respective channel button. |
|
|
Time (or: Z-Position, Rotation, Scene, Illumination, Acquisition block, Mosaic tile, Phase, View) |
||
|
- |
Extract All |
Activated: All elements of the corresponding dimension are extracted. |
|
- |
Extract Single |
Activated: You can select a single element to be extracted. |
|
- |
Extract Range |
Activated: You can select a certain range of elements to be extracted. |
|
- |
Extract Multiple |
Activated: You can select several continuous ranges and individual sections. Enter one or more sections that you want to select in the input field. To do this, enter the first section, followed by a minus sign, and then the last section. If you want to define an interval, after the last section enter a colon and then the interval. The entry "2-10:2" means that every second section is selected from section 2 to section 10. Enter a comma after the first section if you want to define another section. You can also select individual sections separated by commas. By entering "2-10:2,14-18,20,23", you select every second section from section 2 to section10, followed by sections 14 to 18, as well as sections 20 and 23. |
|
Region |
||
|
- |
Full |
Takes the full region into account. |
|
- |
Rectangle Region |
Takes the rectangle into account that you can draw in the 2D view. After drawing you can modify X, Y coordinates as well as width (W) and height (H) manually. |
|
Keep tiles |
Has only an effect, if a region (ROI) is defined. Activated: Extracts the drawn in region including the complete tiles. This setting is recommended when you want to apply DCV processing functions on the resulting image. Deactivated: Drawn ROI will cut through mosaic tiles. |
|
|
Propagate ROI |
Has only an effect, if a region (ROI) is defined in multi-scene images. Activated: Applies the defined region (ROI) to all scenes. |
|
|
Target Folder |
Selects the folder on the disk where the images are to be saved. |
|
|
Overwrite existing files |
Overwrites image files. |
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|
Compression |
||
|
- |
Original |
The output image has the same compression as the original image. |
|
- |
Compression |
JPEG XR compression is applied to the output images. |
|
Defaults |
Sets the values back to default, if they have been changed. |
|
For more information, see Creating Image Subset and Split Dimensions.
Create PSF
For creating experimental point spread functions from a Z-stack of subresolution fluorescent beads please use the function PSF Wizard which is available together with the Deconvolution module and offers a guided procedure starting with a stack of many beads and includes the Create PSF functionality.
Prerequisite for the Create PSF function here is, that bead averaging has already been done. It is available only for legacy reasons.
This function creates a PSF (Point Spread Function) image from a Z-stack image of a bead acquired for PSF measurement. Please observe the instructions for optimal acquisition here: Using beads for PSF measurement.
The result is a so-called PSF image. For advanced settings and options, please use the specific control elements on the PSF Display tab.
Parameters
|
Parameter |
Description |
|---|---|
|
Z-Stack Correction |
Activated: Performs background correction of the Z-stack before the processing. |
|
Circular Average |
Activated: Forces a PSF with lateral symmetry. This option should not usually be activated as lateral asymmetries correspond better to the real situation. Circular averaging is only recommended when a measured PSF is used with the Fast Iterative method. |
|
Threshold Cropping |
Activated: The PSF is restricted to gray value ranges up to 0.25% of the brightest voxel present. If the value is reduced or the option is deactivated, the PSF may be larger. This increases the calculation time. However, it is also possible to achieve slightly better results in this case. This option is deactivated by default. |
|
Threshold |
By using this slider and input field, you can set the percentage from which the PSF is clipped if the Volume Clipping option has been selected. |
|
Iterative Restoration |
Activated: If Z-stack images of beads with diameters greater than the microscope's resolution limit are used to generate the PSF, this option must be selected. The bead diameter used can be entered using the slider and input field. |
Fuse Image Subset
This method allows you to insert an image subset back into the original image. Its contents are replaced by the contents of the image subset. Using this method, you can process a previously created image subset using image processing functions and copy the result back into the original image.
|
Parameter |
Description |
|---|---|
|
In Place |
Activated: The changes are applied to the original image and no new image document is opened as output. |
|
Subset |
Contains the description of how the input image was created as a subset. Shows which areas have been selected in generating the subset image for each dimension (channels, Z-stack, time series), as well as for the defined image section. Example: |
Generate Image Pyramid
This method allows you create an image pyramid and to create a pixel mask for valid pixels in multi scene tile images, especially pyramid tiles. The pixel mask provides information (per sub-block) for each pixel whether it contains real data or not. If pyramid tiles cover areas which do not overlay with the acquisition tiles, the pixels of these areas are classified as invalid. The creation of such a pixel mask can prevent potentially false results for operations done to/with the tile images. As an example, visual artifacts when viewing the tiles could be reduced or eliminated (invalid pixels rendered transparent in the image view) and the calculation of the histogram could be improved. The pyramid calculation never changes the values of the acquisition tiles, so raw data remains untouched.
|
Option |
Description |
|
|---|---|---|
|
Background |
Specifies which value is assigned to invalid pixels. Note that this background color is not visible in the viewer such as the 2D view, it is merely a value for the invalid pixels. |
|
|
– |
Auto |
Sets the value for the invalid pixels automatically based on the document type, i.e. white for brightfield images and black for fluorescence images. |
|
– |
Black |
Sets the value for the invalid pixels to black. |
|
– |
White |
Sets the value for the invalid pixels to white. |
|
Create Mask |
Activated: Creates a pixel mask for valid pixels. |
|
|
Downsampling Filter |
Selects a filter which is applied when generating the pyramid steps. |
|
|
– |
None |
No filtering is applied. |
|
– |
Blur |
Applies a 2x2 blur kernel before decimation (i.e. an average is calculated). |
|
– |
Binomial 3x3 |
Applies a binomial 3x3 filter before decimation. |
|
– |
Binomial 5x5 |
Applies a binomial 5x5 filter before decimation. |
Image Calculator
This method allows you to apply arithmetic operations to images in the form of a calculator.
You can process a single image or combine two images.
All operations are performed pixel by pixel.
Parameters
|
Parameter |
Description |
|---|---|
|
Channel Input 1 |
Here you can select whether you want to use an individual channel or all channels of the first input image for the calculation. |
|
Channel Input 2 |
Here you can select whether you want to use an individual channel or all channels of the second input image for the calculation. |
|
First Images |
Activated: For the second input image uses only the first time points of a time lapse image for the calculation. This allows you, for example, to normalize a time lapse image to the intensity values of the first time points. Enter the number of images that you want to be used for the calculation using the input field. |
|
Formula |
Enter the calculation formula here using the keyboard and numeric keypad. Use "S1" as a placeholder for the first input image and "S2" for the second input image. |
|
Input 1 |
Inserts the placeholder for the first input image into the Formula input field at the current cursor position. |
|
Input 2 |
Inserts the placeholder for the second input image into the Formula input field at the current cursor position. |
|
Absolute Intensities |
Activate this radio button if input image 1 and input image 2 have the same pixel type. |
|
Normalize Intensities 0..1 |
Activate this radio button if input image 1 and input image 2 have different pixel types. To allow such images to be combined, the intensity values of the two images are normalized to the value range from 0 to 1 before the calculation. |
|
Operators... |
Opens a list of all available operators. Here you can select the operator that you want. If you double-click on a list entry, it is inserted into the Formula input field at the current cursor position. |
|
Delete |
Deletes the contents of the Formula input field. |
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Undo |
Undoes the last entry in the Formula input field. |
Image Generator
This function creates a synthetic image where the dimensions can be defined.
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Parameter |
Description |
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|---|---|---|
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Width |
Width in x of the image. |
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Height |
Height in y of the image. |
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Z Slices |
Number of z slices of the image. If the value is > 1, it will become a Z-stack image. |
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Channels |
Number of channels of the image, if value is > 1, it will become a multi-channel image. |
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Time Slices |
Number of time slices, if value is > 1, it will become a time series image. |
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Min. Gray Value |
Minimum Gray Value for generation. |
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Max Gray Value |
Maximum Gray Value for generation. |
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Pixel Type |
Specifies the pixel type of the image. |
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Pattern |
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- |
Uniform |
All pixels of the image have identical Min. Gray Value. |
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- |
2D Gray Scale Vertical |
The image shows a gray scale with values between Min. Gray Value and Max. Gray Value from top to bottom. |
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- |
2D Gray Scale Horizontal |
The image shows a gray scale with values between Min. Gray Value and Max. Gray Value from left to right. |
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- |
Ramp |
The image shows a ramp with values between Min. Gray Value and Max. Gray Value starting from each corner of the image to the center. |
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- |
Gaussian |
The image shows a Gaussian shaped grayscale with values between Min. Gray Value and Max. Gray Value starting from the borders of the image to the center. |
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- |
Checkerboard |
The image shows a checkerboard where the “dark” fields have Min. Gray Value and the “bright” fields have Max. Gray Value. |
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- |
Cosine Checkerboard |
The image shows a checkerboard where the “dark” fields have Min. Gray Value and the “bright” fields have Max. Gray Value overlaid with a cosine modulation. |
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- |
Chirp Cosine |
The image shows a cosine pattern where the “dark” fields have Min. Gray Value and the “bright” fields have Max. Gray Value overlaid with a chirp modulation. |
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- |
Chirp Checker |
The image shows a checkerboard where the “dark” fields have Min. Gray Value and the “bright” fields have Max. Gray Value overlaid with a chirp modulation. |
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- |
Random Spheres |
a 3D (Z stack) image is created which contains Number of Spheres spheres with Sphere Diameter diameter which are randomly distributed in the image. |
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- |
Sphere Array |
a 3D (Z stack) image is created which contains Number of Spheres spheres with Sphere Diameter diameter which are equally distributed in the image. |
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- |
Single Sphere |
a 3D (Z stack) image is created which contains a single sphere with Sphere Diameter diameter which is positioned in the center of the image. |
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Sphere Diameter |
Diameter of the created spheres. |
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Number of Spheres |
Number of spheres which are generated in the 3D image. |
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Linear Unmixing
Linear Unmixing in Direct Processing
If you are using Linear Unmixing in Direct Processing, Automatic Component Extraction (ACE) is not available as the image is not yet created when Direct Processing is set up. It offers only the functionality to import and use reference spectra. You can import reference spectra (Import from) and use the functionality to Calculate Residuals.
With this function you can extract the emission of single fluorescence dyes (e.g. GFP only, YFP only etc.) from strongly overlapping multi-fluorescence data acquired in multi-channel images or Lambda stacks (only available in LSM imaging mode). Note that the functions needs (at least) two fluorescence channels in the input image.
With the knowledge of the spectral characteristic of individual dyes within a sample with multiple dyes, even heavily overlapping individual dye spectra can be mathematically extracted. This method is a pixel-by-pixel image analysis procedure. Ideally, fluorescence spectra of samples labeled with one dye only are acquired and stored in the spectra database as an external reference. This can be done either by employing the spectral detector of a LSM system or by setting up a multichannel experiment on filter based multichannel systems. Then a multi-channel image or Lambda stack from the multi-labeled sample is acquired. The individual dye spectra are then mathematically extracted using the information from the reference spectra. Up to ten different reference signals can be used in the least-square-fit based algorithm to produce a 10-channel output image without any partial overlap between the channels.
Avoid detector saturation of fluorescence signal in the data set to be unmixed. Saturation generates a high signal in the residual channel and will have a negative impact on the unmixing result.
If samples are not available labeled with individual dyes only, the references can be obtained by the following methods:
- Interactively by user-selection of regions in the image where only one fluorescence dye is present (only available in the Unmixing view).
- Automatically by Automatic Component Extraction (ACE). Here the software tries to identify pixels in the acquired multichannel image whose intensity results from an individual dye only.
Note that ACE does not work in all cases and linear unmixing can then lead to wrong results. This is especially the case when unmixing widefield multichannel fluorescence images, where there might not be areas which have sufficiently pure single dye contribution. Here it is especially important to acquire single-dye reference spectra first.
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Parameter |
Description |
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|---|---|---|
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Import Reference Spectra |
For the unmixing process previously generated emission spectra of ideally pure dyes can be loaded and used for unmixing. This function is mutually exclusive to the Automatic Component Extraction function. |
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– |
Import from |
Allows you to select and import reference spectra by clicking on |
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– |
Spectra List |
Displays the list of imported spectra with an ID, the File Name and the Channel. |
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Automatic Component Extraction |
Use this function if no reference spectra are available. Indicates the number of components the system should be looking for in the image. The number of components cannot be higher than the number of channels. It will only work if each of the emission signals is present in an area of the image without overlap of another emission signal. Otherwise, ACE cannot produce a reliable result. |
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Components |
Adjust the number of spectrally distinguishable fluorescent components within the imaged sample. The number of extractable components cannot be higher than the number of acquired channels. The maximum possible value is 10 components. |
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Weighted Unmixing |
If activated, spectral channels with high noise contribute less to the unmixing result. This option includes a statistical analysis of the signal-related (Poisson-) noise and weighs the respective contribution for the fitting with the combination of reference spectra to the experimental data. |
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Autoscale |
Activated: Balances the intensity of the unmixed channels to equal levels. |
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Calculate Residuals |
Activated: Generates an additional channel in which the intensity values represent the difference between the acquired spectral data and the fitted linear combination of the reference spectra. In essence, the residual value is the biggest remaining "residual" from the least square fit routine. The residuals are a general measure for how good the fit of the algorithm has performed. The higher the intensity in this additional channel, the worse is the fit of the spectra to the data set. |
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Widefield Crosstalk Removal |
Not visible for LSM images. This option allows Unmixing to be performed on multichannel fluorescence images created without a spectral or confocal detector. Typically, this would be multichannel images acquired with a filter based multichannel microscope system. In this case, the function will automatically create the same number and type of channels present in the input image for the output image of the Unmixing function. Activated: Removes the crosstalk of widefield channels and ensures that the channel information (emission and excitation wavelength) and metadata of the input image are copied to the output image. |
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See also
LSM Plus Processing
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Parameter |
Description |
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|---|---|---|
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Auto Filter |
Activated: A suitable Super Resolution parameter for the LSM Plus processing is automatically determined for the selected data set. |
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Super Resolution |
Only visible if Auto Filter is deactivated. |
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Strength |
Only visible if Auto Filter is activated. |
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– |
Low |
Uses a decreased strength for the automatically determined value. |
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– |
Standard |
Uses the standard strength for the automatically determined value. |
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– |
High |
Uses an increased strength for the automatically determined value. |
See also
Split into RGB
This method generates the individual color extractions for red, green, and blue from the RGB input image. The resulting images for red, green, and blue take the form of gray images.
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Parameter |
Description |
|---|---|
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Output Pixel type |
Here you choose the desired output image format, e.g. 8 Bit B/W. |
Split Multiblock Image
This method saves the single blocks/dimensions (Tiles or Positions) of a multiblock image (i.e. image of an inhomogeneous experiment) in a folder in .CZI format.
Parameter
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Parameter |
Description |
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|---|---|---|
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Split Mode |
Choose the mode how to split the multiblock image. |
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- |
Homogeneous groups |
Splits the multiblock image into the single dimensions. The blocks will remain. |
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- |
Single blocks |
Splits the multiblock image into single blocks. |
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Display field |
The path of the destination folder is displayed automatically in the display field. To change the folder, click on the |
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Split Scenes
This method separates scenes from a tiles or positions image. The individual images are displayed in the Center Screen Area. Note that the images in this method, in contrast to the method Split Scenes (Write Files), are not automatically stored in a folder.
Split Scenes (Write files)
This method saves the single scenes (tiles or positions) of a multi-scene image as single images in a folder in CZI format.
Parameter
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Parameter |
Description |
|---|---|
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Output Folder |
Displays and sets the path of the output folder. To change the folder, click |
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Include Scene Information in Generated File Name |
Activated: Includes the scene information in the file name of the separate image. |
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Overwrite existing files |
Activated: All files in the target folder are deleted if the function is applied again. |
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Compression |
Selects the type of compression, e.g. Original (no compression) or Compression (JPEG XR). |
ON THIS PAGE
- Utilities
- Add Channels
- Airyscan Processing
- Airyscan Sheppard Sum
- ApoTome Deconvolution
- ApoTome RAW Convert
- Calculate Histogram
- Change Pixel Type
- Combine RGB
- Convert To Lambda
- Copy Annotations
- Copy Image
- Correct Stage Jitter
- Correlation
- Create Gray Scale Image
- Create Image Subset
- Create Image Subset and Split
- Create Image Subset and Split (Write files)
- Create PSF
- Fuse Image Subset
- Generate Image Pyramid
- Image Calculator
- Image Generator
- Linear Unmixing
- LSM Plus Processing
- Split into RGB
- Split Multiblock Image
- Split Scenes
- Split Scenes (Write files)
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