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Page History
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Tool | Name | Purpose | |||||||||||
| Annotations | Opens the Annotations panel, where you can | |||||||||||
| Layer Manager | Opens the Layers Manager panel, where you can | |||||||||||
| Home | Return to the data table so that you can open another slide. | |||||||||||
| Draw | Draw thin lines, thick lines, or polygons on the image. | |||||||||||
| Magnifier | The Magnifier works like a magnifying glass and allows you to see the slide at normal magnification (1.0), low magnification (0.5), or high magnification (2.0). Click a magnification level and place the bounding box on the area of the slide you want to magnify. | |||||||||||
| Measurement | ||||||||||||
| Share View |
| Side by Side Viewer |
| Heat Map |
| Labeling |
| Segment |
| Bug Report |
| Reviewed |
The following is placeholder text...
Filtering Markups
You can filter your view of the markups on the images in caMicroscope by an area based on one or more selected algorithms. The algorithms available in caMicroscope have been run against the full set of images.
To filter markups
- Click the Filter Markups button.
The Select Algorithm box appears. - Click the box to the left of each algorithm you want to select.
caMicroscope runs the algorithm(s) against each image in the dataset. This can take some time. The markups appear in the color noted in the Select Algorithm box. You may have to zoom in and pan the image to see all markups.
Analyzing Images
To analyze images
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| Opens a window with a URL to the current presentation state of the slide including the magnification level, layers that are currently open, and your position on the image. | ||
| Side by Side Viewer | Shows the Layer Manager panel, the left and right layers, and inset window. |
| Heat Map | For a slide with heatmap data, opens the choices of heatmaps available, as well as ways of displaying the heatmaps. The gradient shows all of the values on the selected spectrum for the field you selected. A plot of cross-tabulated feature correlations appears. |
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The heat map shown in the cross-tabulation is a sampling of over a million segmented objects in the dataset. Hover your mouse over the colored pixels in the feature correlations. Each pixel is a single segmented object. The features that intersect at each pixel are highlighted in yellow, the intersected pixel is outlined in orange and filled with an X, and the feature names appear in a popup window. |
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| Labeling | |
| Segment | |
| Bug Report | Opens a Google Form where you can describe the issue you have experienced. |
| Reviewed |
