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Pipeline operations layout

The following operations are part of the pipeline.

Input ROI

This operation allows to select the region of interest (ROI). ROI defines the dataset subarea that will be processed and analyzed by the pipeline.

Denoising

Set of operations performing noise reduction. Choose the more suitable method based on your sample and define the diameter.

Intensity Threshold Segmenter

Allows the segments detection using one of the available automatic threshold methods.

Intensity Threshold Segmenter parameters

By default, the Method: Range is selected. Depending on the selection, different parameters are available.

Parameter

Description

Channel

Sets the processing and analysis target channel.

Method

Sets the threshold algorithm. By default, Auto is selected.

Simple

This method uses a single threshold and segments everything below or above it.

Range

This method uses two Thresholds to define the range of intensities to segment. Everything outside of this range is neglected.

Percentile

This method uses a single threshold and segments all intensities below or above it. The threshold is given as a percentile and is based on the data.

Percentile range

This method uses two thresholds to define the range of intensities to segment. Everything outside of this range is neglected. The thresholds are given as percentiles and are based on the data.

Auto

This method uses a single threshold and segments all intensities below or above it. The threshold is automatically calculated based on the data.

Adaptive mean

This method uses local information around each pixel to set a threshold in relation to the local background. It is based on Niblack's thresholding method.

Mean

This method uses local information around each pixel to set a threshold in relation to the local background.

Threshold

Sets the threshold values accordingly to the image dynamic range.

Store Objects

Store the detected segments (tag) in the active dataset.

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