Seitenhistorie

...

• Visualization
• Intermediary step for mask generation
• Segmentation

Credits:

• https://github.com/juglab/n2v 
• https://github.com/juglab/N2V_fiji/
• https://github.com/MuensterImagingNetwork/OMERO

1. Start Noise2Void with the icon on the desktop: N2V_OMERO

2. Open the Login dialog and insert your credentials for the server omero-cai.hhu.de

Image Added

3. Get ready for the training of a model for your images:

1. Select a dataset on OMERO with its ID
2. Get an image to test the connexion
3. → Jump to 5. if you already have a trained model
4. Choose a name for the model
5. Select the path where to save the model
6. "Number of training epochs" and "Batch size" can be left as default (if there is a memory error, for the training, the batch size must be reduced).
7. Click on "Start training" and go for a break. This should last 10-15 min.

Image Added

4. Look at the result with "Preview Result" and use the navigation pane to observe the before/after

Image Added

5. Apply the model to the dataset and upload results to OMERO → Start with this step if you already have a trained model for your images