Deep Learning Reconstruction parameters

Model

Set a DL model to be used (ONNX or CZDMODEL/CZANN). The operation will extract all necessary info from the loaded model and update the UI accordingly. Note: Click on to select the model or paste the path in the text field

Channel

Select the channels that will be used for analysis. Channels are available based on the selected model and its input shape.

Outputs

Sets the output of the Operation.

Note: click to select the desired output(s)

Normalization

Sets a normalization range to be applied on the data before inference.

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Full range

Full range uses the intensity range of the input data pixel type, e.g. for 8bit it is [0,255].

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Data range

Data range uses the minimum and maximum values of input data over all timepoints.

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Data range per timepoint

Data range per timepoint, uses the minimum and maximum values of input data per timepoint.

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Manual

Manual allows users to select any desired range using the picker to be used for all channels and timepoints.

Customize model settings

Select this checkbox to be able to modify specific model parameters. Otherwise, default values are used.

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Min overlap

Sets a minimum voxel count for overlapping tiles used in the model. The default values are extracted from the loaded model and are zero if no value has been defined in the metadata.

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Input range

Sets the intensity range. The default range is between 0 and 1. Change this range to match the trained model.

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Prediction range

Sets the range to match the output of the trained model. The default range is considered to be between 0 and 1.

Apply tile blending

Applies smoother transition between the results of two tiles and reduces the tiling artifacts.