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Test the multi-page option to pass packed images from the IDR download tool to CellProfiler in Galaxy

1. The output features of the ExampleHuman dataset is in the folder results_separate_images.

2. Python script to create a multi-page tiff from numpy objects (by @davelopez).

  • Input: original ExampleHuman tiff files to use them as numpy objects
  • Output: multi-page tif
  • Dependencies: imageio

Part of this code can be included in the IDR download tool to save multiple numpy objects (from getTile) into one file instead of saving separate tif files.

NOTE: All the files within a multi-page file need to have the same dimensions. The batches of images should never combine images from different datasets (they are cropped differently).

3. To run CellProfiler using the multi-page tif some adjustments are needed:

  • Module Metadata
    • Metadata extraction method -> Extract from image file headers
  • Module NamesAndTypes (this config might not be needed)
    • Assign a name to -> Images matching rules
    • Match All of the following rules
    • Select the rule criteria:
      • Metadata - does - Have Frame matching - 0
      • Image - Is - Stack frame

The output features are in the folder results_multipage_tiff.

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