diff --git a/README.md b/README.md
index 72a68d5d997e8283b91023361c8c6829935d7a17..f16a34e5258515fdeced1c341290ae7d5b050ab1 100755
--- a/README.md
+++ b/README.md
@@ -83,7 +83,8 @@ If you click on `Concatenate aligned images` on the plugin interface, the plugin
 
 # Demo/Test
 
-To test this plugin, you can use our [demo dataset](./data/demo_input) proposed in this repository or directly on your own dataset.
+To test this plugin, you can use our [demo dataset](https://zenodo.org/records/15028169) proposed in a Zenodo repository or directly on your own dataset.
+If you use the data from the Zenodo repository, the file to use to test this plugin is the movie `Registration_WTn1_Crop_V1.tif` which has been cropped from our dataset to reduce the size.
 
 ## Steps
 The input of the process should be a `.tiff` 3D and temporal stack with one or more channels. 
@@ -98,23 +99,34 @@ For example, if the name of the environment is `timereg-env`, type: `conda activ
 When it's activated, type `napari` to start Napari. 
 Go to `Plugins>napari-3dtimereg` to start it.
 
+Load the movie to register. The plugin will ask you to choose the channel on which to calculate the registration, so choose a channel that should be immobile during the movie (for example, the channel containing the fibers which should be stable over time).
+Set the `reference channel` to the corresponding channel number (that you can see in the bottom left part of the viewer, with the layers name `MovieChannel*`).
 
-The dialog interface appears to let you choose the folder to process (the one containing your data), the neural networks to use (that you can download from this repository [`FiberFromTransMatch.zip`](./networks/)) and the parameters to you want to use (see [options](#options) part for more details).
+![example screenshot](./imgs/load.png)
 
-Press `Ok` to launch it. If you selected the `visible` mode, images will pop up during the process and you can visualize the different steps. Otherwise, you will only get informations of the plugin advancement in the `Log` window.
 
-## Output
-At the end of the process, you will get a folder named `aligned` in which all processed stacks will be saved (registered stacks) with the corresponding TrackMate files if you selected the option.
-You can see what you can obtain with our [demo dataset](./data/demo_output).
 
-**Running time**: On a standard computer with one GPU, running the plugin on one image take typically around XXX for a movie wit XX Z-slices and XX time frames.
+
+## Parameters
+
+In [Sarde et al., 2025](https://www.biorxiv.org/content/10.1101/2025.03.13.643016v1), we used the following parameter values to register our intravital movies:
+* `use reference points: True`
+* `rigid resolution: 4`
+* `spline resolution: 2`
+* `iterations: 1000`
+* `rigid final spacing: 50`
+* `spline final spacing: 200`
+* `final order: 1`
+
+## Output
+At the end of the process, you will get a folder named `aligned` in which all processed stacks will be saved (registered stacks)
 
 
 # License
 
 Distributed under the terms of the [BSD-3] license, "napari-3dtimereg" is free and open source software.
 
-If you use it, please cite our paper [Sarde et al.](https://www.biorxiv.org/content/10.1101/2025.03.13.643016v1). 
+If you use it, please cite our paper [Sarde et al., 2025](https://www.biorxiv.org/content/10.1101/2025.03.13.643016v1). 
 
 
 [napari]: https://github.com/napari/napari