diff --git a/README.md b/README.md
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+++ b/README.md
@@ -1,21 +1,10 @@
-# Synaptic Reconstruction
+# SynapseNet: Deep Learning for Automatic Synapse Reconstruction
 
-Reconstruction of synaptic structures in electron microscopy.
+SynapseNet is a tool for segmentation and analysis of synapses in electron microscopy.
 
-THIS IS WORK IN PROGRESS!
+To learn how to use SynapseNet, check out [the documentation](https://computational-cell-analytics.github.io/synapse-net/).
+To learn more about how it works, check out [our preprint](TODO).
 
-## Installation
-
-- Make sure conda or mamba is installed.
-    - If you don't have a conda installation yet we recommend [micromamba](https://mamba.readthedocs.io/en/latest/installation/micromamba-installation.html)
-- Create the environment with all required dependencies: `mamba env create -f environment.yaml`
-- Activate the environment: `mamba activate synaptic-reconstruction`
-- Install the package: `pip install -e .`
-
-## Tools
-
-### Segmentation Correction
-
-https://napari.org/stable/howtos/layers/labels.html
-
-### Distance Measurements
+See an example reconstruction of a mossy fibre synapse with SynapseNet.
+Automatic segmentation of synaptic vesicles are rendered in orange, active zones in blue and two mitochondria in red and cyan.
+![Reconstruction of a mossy fiber synapse](doc/images/synapse-reconstruction.png)
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@@ -14,15 +14,25 @@ especially throught the [domain adaptation](domain-adaptation) functionality.
 SynapseNet offers a [napari plugin](napari-plugin), [command line interface](command-line-interface), and [python library](python-library).
 Please cite our [bioRxiv preprint](TODO) if you use it in your research.
 
-## Installation
+**The rest of the documentation will be updated in the next days!**
+
+## Requirements & Installation
 
 - Requirements: Tested on Linux but should work on Mac/Windows.
     - GPU needed to use 3d segmentation networks
 - Installation via conda and local pip install
     - GPU support
 
+- Make sure conda or mamba is installed.
+    - If you don't have a conda installation yet we recommend [micromamba](https://mamba.readthedocs.io/en/latest/installation/micromamba-installation.html)
+- Create the environment with all required dependencies: `mamba env create -f environment.yaml`
+- Activate the environment: `mamba activate synaptic-reconstruction`
+- Install the package: `pip install -e .`
+
 ## Napari Plugin
 
+lorem ipsum
+
 ## Command Line Functionality
 
 - segmentation cli