Segmentation and counting of cell nuclei in fluorescence microscopy images
This workflow performs segmentation and counting of cell nuclei using fluorescence microscopy images. The segmentation step is performed using Otsu thresholding (Otsu, 1979). The workflow is based on the tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html
- Author(s):
- Release: 0.1
- License: MIT
- UniqueID: 8c2d765b-2764-4b66-8542-adc2109c24f2
Segmentation and counting of cell nuclei in fluorescence microscopy images
This workflow performs segmentation and counting of cell nuclei using fluorescence microscopy images. The segmentation step is performed using Otsu thresholding (Otsu, 1979). The workflow is based on the tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html
Inputs
input_image: The fluorescence microscopy images to be segmented. Must be the single image channel, which contains the cell nuclei.
Outputs
overlay_image: An overlay of the original image and the outlines of the segmentated objects, each also annotated with a unique number.
objects_count: Table with a single column objects and a single row (the actual number of objects).
label_image: The segmentation result (label map, which contains a unique label for each segmented object).