The Image Splitter is a tool to split a single image containing multiple samples into individual samples so they can be analyzed independently. This is especially useful for analyzing TMAs (see Importing TMA data). The Image Splitter may also be used for ROI-based Analysis.
To get started, your original image must be viewable in the Visualizer. Open the original image and open the Image Splitter
panel found on the right side of the Visualizer. You should see a list of images:
Open an image from the list to draw boundaries around each individual region. Alternatively, if your image is a TMA (tissue microarray), you can click the “Autogenerate TMA Boundaries” button at the bottom to do so automatically. This will kick off our algorithm, which attempts to determine where your tissue regions are and draw all the necessary boundaries for you.
Notes about Autogeneration:
<aside> 💡 Note: When drawing boundaries, you cannot click and drag to navigate to a new tissue region as this initiates the process for drawing a boundary. Instead you should zoom out, point your mouse to a new spot, and zoom back in to shift the area of focus in the pane.
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Save and repeat for as many regions as you need. When you’ve drawn boundaries around each sample you’d like to split, click on “Run Image Split” in the bottom right hand corner, select the images that are ready to be split, and submit.
The splitting process will create a new experiment, titled “Split of [original experiment name]”, and will create a single sample region for each boundary. You will receive a notification once the split has finished and you will be able to visualize and analyze each sample region individually.
Finally, find your newly created experiment in the Designer to relabel your sample names.