Update README.md

README.md

@@ -54,19 +54,21 @@ The plugin can be used with:
 
 #### Right-hand-side panel:
 - **Prexisting config files**:  
-![Right-Config](https://github.com/user-attachments/assets/b8fea5f0-1d8f-4578-a577-8744d32dcaa5)   
+
 Clicking the link will open a new tab with the viewer displaying the selected configuration.
+
 - **Autogenerating config file**:  
-![Right-Auto](https://github.com/user-attachments/assets/8dfa22cc-dbb5-493d-b837-d609a11a1346)  
-Clicking the button will autogenerate a config file and attach it to the dataset/image, and the viewer displaying the autogenerated configuration.  
+![image](https://github.com/user-attachments/assets/c8450916-aceb-4036-a23b-580094c207ed)
+The form allows the user to automatically generate a config file with the selected parameters. After clicking the `Generate Config` button
+a config file is generated and attached to the dataset/image. The viewer displaying the autogenerated configuration will open in a new tab.  
 
 #### Open-with:
 Right click on a `dataset` or an `images` in the left-panel and select `open-with` -> `Vitessce`.  
 This will open the vitessce viewer in a new tab using the first configuration file attachement.
 ![Openwith-image](https://github.com/user-attachments/assets/f75cc27c-4cd3-4a19-ae20-7d8f0a47aa87)
 
 ### Viewer window
-After using a The Vitessce viewer is opened in a new tab:
+After autogenerating or selecting a config file, rhe Vitessce viewer is opened in a new tab:
 ![image](https://github.com/user-attachments/assets/77de517e-67e4-42d6-a2b6-2a3a6a11dc7e)
 
 ### Config files
@@ -75,8 +77,8 @@ The config files should follow the vitessce view-config-json format: http://vite
 
 #### Autogenerated config files
 Config files can be autogenerated for:
-- `images`: A spatial view and a layer controller view are setup for the image.
-- `datasets`: All images in the dataset are bundled togheter and a spatial view and a layer controller are setup.
+- `images`
+- `datasets`
 
 Assumes that the images are in the OME-NGFF format v0.4 and that [omero-web-zarr](https://github.com/ome/omero-web-zarr) is
 available to serve the images.