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Merge pull request #330 from jo-mueller/replace-pointcloud-visualizat…
…ion-with-napari-matplotlib Replace pointcloud visualization with napari matplotlib
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docs/02_interactive_usage/02_example_workflows/demo_visualize_features.md
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docs/02_interactive_usage/02_example_workflows/visualize_measurements_in_viewer.md
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(point_and_click:visualize_features)= | ||
# Visualize measurements | ||
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Napari-stress (and the [measurement toolbox](toolboxes:stress_toolbox:stress_toolbox_interactive), in partciular) generate a number of measurements that can be visualized using the [napari-matplotlib](https://napari-matplotlib.github.io/) plugin. It is automatically installed with napari-stress and can be activated from the plugins menu (`Plugins > napari Matplotlib`). | ||
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In order to use it, check out the documentation on the [napari-matplotlib page](https://napari-matplotlib.github.io/). In the scope of napari-stress, what you will need, is the Features Histogram (`Plugins > napari Matplotlib > FeaturesHistogram`). | ||
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![](./imgs/demo_visualize_featureHistogram.png) | ||
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To display measurements, select a layer of interest and the dropdown in the newly created Histogram widget will show all possible features for you to highlight. | ||
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![](./imgs/demo_visualize_featureHistogram2.png) |
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