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.
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Parameter |
Description |
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ROI |
Sets the processing and analysis target space. |
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Current View |
The selected Z plane and the viewer area are processed. |
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Current Plane |
The selected Z plane is processed (XY). |
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Current Time Point |
The selected time point is processed (XYZ). |
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Current Image Set |
The complete dataset (XYZ and time) is processed. |
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Custom |
Allows to mix the previous methods. |
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Channels |
Sets the processing and analysis target channels. Selecting a single channel, all the operations in the pipeline will be forced to use it. |
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Scaling |
Sets the scaling of the dataset, which reduces it size. The measurements will not be modified by the scaling factor |
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Crop input data |
Sets the limitation of the data used for the calculation to only the cropped selection defined above. If this option is not selected, the entire image set is used for the calculation. |
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Additional settings for Input ROI expand, when you click in the operation.
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Parameter |
Description |
|---|---|
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Bounds |
Sets the analysis area edges. The whole XY bounds, the viewing area or a custom space can be applied. |
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Planes |
Sets the analysis planes range. A single plane, a range of planes or the whole stack can be selected. |
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Time Points |
Sets the analysis time points range. A single time pint, a range of time points or the whole movie can be selected. |
Automatic objects detection algorithm. It works on small and roundish structures, and it is used to segment the neuron cell body.
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Parameter |
Description |
|---|---|
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Channel |
Sets the analysis target channel. |
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Diameter |
Sets the reference objects diameter (max). |
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Probability |
Sets the probability threshold coefficient. |
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Split sensitivity |
Sets the sensitivity used to split touching objects. Decreasing the Split sensitivity will fuse more objects |
Sets threshold value as the minimum intensity level of the tubular structures vs. the background.
Before setting the Neuron Tracer parameters, run the Blob Finder operation.
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Parameter |
Description |
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|---|---|---|
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Channel |
Sets the processing and analysis target channels. |
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Cell body |
Sets the output of another operation as an input. It is recommended to select the Output of the Blob Finder operation as input. |
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Method |
Sets the method for tracing neurons. Each has a set of settings which need to be properly adjusted to get the best result. |
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Threshold-based Reconstructor |
This method uses a threshold to separate the foreground from the background. The foreground is searched for connected pixels. These connected pixels are formed into paths and only paths that form a neuron skeleton structure will be kept and used to create a complete trace. |
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Probabilistic Reconstructor |
This method calculates the local tubularity of the image data. This tubularity map is searched for seed points. Starting from seed points, using a probability function (Monte-Carlo), trace parts are detected. These trace parts are then merge together to create the complete trace. |
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Threshold |
Sets the threshold values accordingly to the image dynamic range. |
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Keep only neurites connected to a cell body |
Sets that all traces that are not connected to a cell body should be filtered out. |
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Min. terminal section length |
Sets the minimum length of a trace's terminal sections. Any terminal section with a length smaller than this value will be filtered out. |
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Store the detected segments (tag) in the active dataset.