diff --git a/README.md b/README.md
index b11a02b64..7d4cee267 100644
--- a/README.md
+++ b/README.md
@@ -1,17 +1,17 @@
-# PIMMS
+![log](docs/logos/logo.png)
 [![Read the Docs](https://img.shields.io/readthedocs/pimms)](https://readthedocs.org/projects/pimms/) [![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/RasmussenLab/pimms/ci.yaml)](https://github.com/RasmussenLab/pimms/actions) [![Documentation Status](https://readthedocs.org/projects/pimms/badge/?version=latest)](https://pimms.readthedocs.io/en/latest/?badge=latest)
 
-
 PIMMS stands for Proteomics Imputation Modeling Mass Spectrometry 
 and is a hommage to our dear British friends 
 who are missing as part of the EU for far too long already
 (Pimms is a British summer drink).
 
-The publication is accepted in Nature Communications 
-and the pre-print is available [on biorxiv](https://doi.org/10.1101/2023.01.12.523792).
+We published the [work](https://www.nature.com/articles/s41467-024-48711-5) in Nature Communications as open access: 
 
-> `PIMMS` was called `vaep` during development.  
-> Before entire refactoring has been completed the imported package will be `vaep`.
+> Webel, H., Niu, L., Nielsen, A.B. et al.  
+> Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning.  
+> Nat Commun 15, 5405 (2024).  
+> https://doi.org/10.1038/s41467-024-48711-5
 
 We provide functionality as a python package, an excutable workflow or simply in notebooks.
 
@@ -40,6 +40,9 @@ pip install pimms-learn
 Then you can use the models on a pandas DataFrame with missing values. You can try this in the tutorial on Colab by uploading your data:
 [![open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/RasmussenLab/pimms/blob/HEAD/project/04_1_train_pimms_models.ipynb)
 
+> `PIMMS` was called `vaep` during development.  
+> Before entire refactoring has been completed the imported package will be `vaep`.
+
 ## Notebooks as scripts using papermill
 
 If you want to run a model on your prepared data, you can run notebooks prefixed with 
diff --git a/docs/conf.py b/docs/conf.py
index 490c5a639..0f4551115 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -89,6 +89,8 @@
 # a list of builtin themes.
 
 html_theme = 'sphinx_book_theme'  # pip install sphinx-book-theme
+html_logo = 'logos/logo.png'
+html_favicon = "logos/logo_thumbnail.png"
 
 # See:
 # https://github.com/executablebooks/MyST-NB/blob/master/docs/conf.py
diff --git a/docs/index.rst b/docs/index.rst
index e2b0caf15..31e097275 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -1,5 +1,5 @@
 Welcome to proteomics imputation modelling mass spectrometry (PIMMS) documentation!
-================================
+===================================================================================
 
 .. https://github.com/sphinx-doc/sphinx/issues/7000#issuecomment-1006645012
 .. https://stackoverflow.com/a/54519037
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