Update README.md

README.md

@@ -12,7 +12,7 @@
 [![Contributors](https://img.shields.io/github/contributors-anon/HenriquesLab/NanoPyx)](https://github.com/HenriquesLab/NanoPyx/graphs/contributors)
 [![GitHub stars](https://img.shields.io/github/stars/HenriquesLab/NanoPyx?style=social)](https://github.com/HenriquesLab/NanoPyx/)
 [![GitHub forks](https://img.shields.io/github/forks/HenriquesLab/NanoPyx?style=social)](https://github.com/HenriquesLab/NanoPyx/)
-[![DOI](https://zenodo.org/badge/505388398.svg)](https://zenodo.org/badge/latestdoi/505388398)
+[![DOI](https://img.shields.io/badge/Publication-Nat._Methods-purple)](https://doi.org/10.1038/s41592-024-02562-6)
 
 Nanoscopy Python library (NanoPyx, the successor to NanoJ) - focused on light microscopy and super-resolution imaging
 
@@ -26,15 +26,15 @@ It is a successor to [NanoJ](https://github.com/HenriquesLab/NanoJ-Core), which
 NanoPyx focuses on performance, by using the [Liquid Engine](https://github.com/HenriquesLab/LiquidEngine) at its core. It implements methods for the bioimage analysis field, with a special emphasis on those developed by the [Henriques Laboratory](https://henriqueslab.github.io/).
 It will be distributed as a Python Library and also as [Codeless Jupyter Notebooks](https://github.com/HenriquesLab/NanoPyx#codeless-jupyter-notebooks-available), that can be run locally or on Google Colab, and as a [napari plugin](https://github.com/HenriquesLab/napari-NanoPyx).
 
-You can read more about NanoPyx in our [preprint](https://www.biorxiv.org/content/10.1101/2023.08.13.553080v1).
+You can read more about NanoPyx in our [publication].
 
 Currently it implements the following approaches:
 - A reimplementation of the NanoJ image registration, SRRF and Super Resolution metrics
 - eSRRF
 - Non-local means denoising
 - More to come soon™
 
-if you found this work useful, please cite: [preprint](https://www.biorxiv.org/content/10.1101/2023.08.13.553080v1) and  [![DOI](https://zenodo.org/badge/505388398.svg)](https://zenodo.org/badge/latestdoi/505388398)
+if you found this work useful, please cite: [publication]
 
 ## Short Video Tutorials
 | What is NanoPyx? | How to use NanoPyx in Google Colab? |
@@ -166,9 +166,4 @@ If you encounter any problems, please [file an issue] along with a detailed desc
 [CC-By v4.0]: https://creativecommons.org/licenses/by/4.0/
 [file an issue]: https://github.com/HenriquesLab/NanoPyx/issues
 [pip]: https://pypi.org/project/pip/
-
-## Development at a glance
-
-## [![Repography logo](https://images.repography.com/logo.svg)](https://repography.com) / Structure
-
-[![Structure](https://images.repography.com/33651790/HenriquesLab/NanoPyx/structure/6USKh-PjgkYlbiepDRN9aThOShl3TNx_VkIycH0M6e0/Sqp8CSmE3HObh4_sa8_-IsUByYshpCVQpMuu1E_Fwiw_table.svg)](https://github.com/HenriquesLab/NanoPyx)
+[publication]: https://doi.org/10.1038/s41592-024-02562-6