diff --git a/README.md b/README.md
index 189ee40cedbbb355878019bd14794a41ecfcc872..fbb77290b44c51d325dda1bb0603dca95cad5bc3 100644
--- a/README.md
+++ b/README.md
@@ -1,55 +1,37 @@
-# nd2reader
+# zolfa-nd2reader
 
-[![Anaconda-Server Badge](https://anaconda.org/conda-forge/nd2reader/badges/version.svg)](https://anaconda.org/conda-forge/nd2reader)
-[![Anaconda-Server Badge](https://anaconda.org/conda-forge/nd2reader/badges/downloads.svg)](https://anaconda.org/conda-forge/nd2reader)
-[![Build status](https://github.com/rbnvrw/nd2reader/actions/workflows/python-package.yml/badge.svg)](https://github.com/rbnvrw/nd2reader/actions/workflows/python-package.yml)
 
 ### About
 
-`nd2reader` is a pure-Python package that reads images produced by NIS Elements 4.0+. It has only been definitively tested on NIS Elements 4.30.02 Build 1053. Support for older versions is being actively worked on.
+`zolfa-nd2reader` is a pure-Python package that reads images produced by NIS Elements 4.0+. It has only been definitively tested on NIS Elements 4.30.02 Build 1053. Support for older versions is being actively worked on.
 The reader is written in the [pims](https://github.com/soft-matter/pims) framework, enabling easy access to multidimensional files, lazy slicing, and nice display in IPython.
 
+This version is a fork of the project of published [here](https://github.com/Open-Science-Tools/nd2reader).
+
 ### Documentation
 
-The documentation is available [here](http://www.lighthacking.nl/nd2reader/).
+Documentation specific to this fork is not available yet.
+
+The documentation of the origianl `nd2reader` project was available [here](http://www.lighthacking.nl/nd2reader/).
 
 ### Installation
 
 The package is available on PyPi. Install it using:
 
 ```
-pip install nd2reader
+pip install zolfa-nd2reader
 ```
 
-If you don't already have the packages `numpy`, `pims`, `six` and `xmltodict`, they will be installed automatically if you use the `setup.py` script.
-Python >= 3.5 are supported.
-
-#### Installation via Conda Forge
+If you don't already have the packages `numpy`, `pims` and `xmltodict`, they will be installed automatically running pip.
+Python >= 3.10 are supported.
 
-Installing `nd2reader` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with:
-
-```
-conda config --add channels conda-forge
-```
-
-Once the `conda-forge` channel has been enabled, `nd2reader` can be installed with:
-
-```
-conda install nd2reader
-```
-
-It is possible to list all of the versions of `nd2reader` available on your platform with:
-
-```
-conda search nd2reader --channel conda-forge
-```
 
 ### ND2s
 
 `nd2reader` follows the [pims](https://github.com/soft-matter/pims) framework. To open a file and show the first frame:
 
 ```python
-from nd2reader import ND2Reader
+from zolfa.nd2reader import ND2Reader
 import matplotlib.pyplot as plt
 
 with ND2Reader('my_directory/example.nd2') as images:
@@ -58,13 +40,9 @@ with ND2Reader('my_directory/example.nd2') as images:
 
 After opening the file, all `pims` features are supported. Please refer to the [pims documentation](http://soft-matter.github.io/pims/).
 
-#### Backwards compatibility
-
-Older versions of `nd2reader` do not use the `pims` framework. To provide backwards compatibility, a legacy [Nd2](http://www.lighthacking.nl/nd2reader/nd2reader.html#module-nd2reader.legacy) class is provided.
-
 ### Contributing
 
-If you'd like to help with the development of nd2reader or just have an idea for improvement, please see the [contributing](https://github.com/rbnvrw/nd2reader/blob/master/CONTRIBUTING.md) page
+If you'd like to help with the development of nd2reader or just have an idea for improvement, please see the [contributing](https://gitlab.pasteur.fr/zolfa/zolfa-nd2reader/-/blob/master/CONTRIBUTING.md) page
 for more information.
 
 ### Bug Reports and Features
@@ -74,6 +52,8 @@ If you get an unhandled exception, please paste the entire stack trace into the
 
 ### Acknowledgments
 
+First fork by Ruben Verweij.
+
 PIMS modified version by Ruben Verweij.
 
 Original version by Jim Rybarski. Support for the development of this package was partially provided by the [Finkelstein Laboratory](http://finkelsteinlab.org/).