https://github.com/biapol/amhct_bio_image_analysis_2025

https://github.com/biapol/amhct_bio_image_analysis_2025

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README.md

AMHCT Lecture - Navigating the Reproducibility Storm with Bio-Image Analysis

This page contains the resources for the lecture "Navigating the Reproducibility Storm with Bio-Image Analysis" in the Advanced Methods & Human Cell Technologies (AMHCT) as part of the Regenerative Biology and Medicine Master's Program.

The Jupyter book of the course can be viewed under this URL: https://biapol.github.io/AMHCTBioImageAnalysis2025/

This work is licensed by the Bio-Image Analysis Technology Development group (BiAPoL), Cluster of Excellence Physics of Life (PoL), Dresden, under a Creative Commons Attribution 4.0 International License.

It is maintained using Jupyter lab and build using Jupyter book.

Slides are available here.

Acknowledgements

We would like to acknowledge all contributors who spend time in the past years to make slides and notebooks we are reusing there, in particular Robert Haase (Scads.AI Leipzig), Till Korten (Helmholtz AI) and Johannes Soltwedel (BiAPoL). This project was supported by the Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy – EXC2068 - Cluster of Excellence “Physics of Life” of TU Dresden.

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  • Name: Bio-image Analysis group at the DFG Cluster of Excellence "Physics of Life" at TU Dresden
  • Login: BiAPoL
  • Kind: organization
  • Location: Dresden

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