The following operations are part of the pipeline.
The following operations are part of the pipeline.
This operation allows to select the region of interest (ROI). ROI defines the dataset subarea that will be processed and analyzed by the pipeline.
Set of operations performing noise reduction. Choose the more suitable method based on your sample and define the diameter.
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Parameter |
Description |
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Channels |
Sets the processing and analysis target channel(s). |
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Method |
Sets the denoising algorithm. |
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Bilateral |
The Bilateral filtering can reduce the noise in an image while maintaining edges. A bilateral filtering blurs an image using both domain and range neighborhoods. |
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Discrete Gaussian |
The Discrete Gaussian filter blurs an image by convolution with a discrete Gaussian kernel. This method is fast, but blurs edges. |
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Flow-driven |
The curvature Flow-driven denoising filter is an anisotropic diffusion method used to reduce noise or unwanted detail in images while preserving specific image features. |
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Mean |
The Mean filter blurs the image by calculating a new intensity value for each pixel. The new intensity is equal to the average of the intensity values of the pixels in the local neighborhood. |
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Median |
The Median filter sets the intensity for each pixel to the median of the intensity values in the local neighborhood. The median is the intensity value and the center of the ordered sequence of all pixels in the local neighborhood. |
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Particle |
The Particle Enhancement Filter can be used to extract bright structures of a certain size from a noisy background. It convolves a given image with a special restoration kernel. |
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Diameter |
Sets the reference objects the reference objects diameter. |
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Automatic objects detection algorithm based on region growing approach. It uses the nuclei (seeds) previously segmented by the Blob Finder operation as starting point for the growing task.
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Parameter |
Description |
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Seeds |
Sets the input (seeds). |
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Method |
Sets the seeding method. |
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Watershed |
Segments bright objects such as cells by growing from seeds to the border of an object. |
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Membrane-based watershed |
Segments dark objects such as membrane staining by growing from the seeds to the bright intensity outlines. |
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Channel |
Sets the analysis target channel. |
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Threshold |
Set the region growing threshold. |
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Max. distance |
Set the Maximum distance on which (within) the region growing will act. |
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Store the detected segments (tag) in the active dataset.
Results (segments and measurements) will be stored in the dataset only if this operation has been correctly set. Check appropriately the option before completing the pipeline execution.