This is the website of the BIDS Training School @ ScaDS.AI 2024. We will provide all training materials and information about the training school here.
Caution
This web page is under heavy construction. Come back later for the full content.
- Date: May 13th-15th 2024
- Place: ScaDS.AI / Uni Leipzig
- Target audience: Life scientists with interest in learning Bio-image Analysis and Data Science using Python. No prior programming experience required.
- Registration is closed.
This course focuses on bio-image analysis and data science with a focus on fluorescence microscopy imaging data and downstream analysis. Our training includes these python libraries:
- aicsimageio
- apoc
- hdbscan
- napari
- numpy
- pandas
- pyclesperanto_prototype
- scikit-image
- scikit-learn
- scipy
- seaborn
- stackview
- Anja Neumann, ScaDS.AI, Uni Leipzig
- Christian Martin, ScaDS.AI, Uni Leipzig
- Dušan Praščević, ScaDS.AI, Uni Leipzig
- Jan Ewald, ScaDS.AI, Uni Leipzig
- Laura Žigutytė, Clinical AI / Kather lab, EKFZ, TU Dresden
- Marie-Sophie von Braun, ScaDS.AI, Uni Leipzig
- Matthias Täschner, ScaDS.AI, Uni Leipzig
- Robert Haase, ScaDS.AI, Uni Leipzig
- Monday, May 13th
9:00-10:30 Arrival 10:30-11:00 Welcome, organizational (Robert) 11:00-12:30 Python basics (Matthias, Robert) 12:45-13:45 Lunch 13:45-15:15 File handling + Image loading/visualization (Robert, Matthias) 15:15-15:45 Coffee 15:15-17:15 Image Processing basics (Anja, Marie-Sophie) 17:15-18:00 Work on your own data / discuss with experts
- Tuesday, May 14th
9:00-10:30 Image Segmentation (Robert, Matthias) 10:30-11:00 Coffee 11:00-12:30 Feature extraction (Robert, Christian) 12:45-13:45 Lunch 13:45-15:15 Machine learning (Pixel + Object Classification) (Christian, Anja) 15:15-15:45 Coffee 15:45-17:15 Tabular data wrangling using Pandas (Matthias, Christian) 17:15-18:00 Wrap up & work on your own data 19:00-21:00 Scientific Networking Event (Matthias, Robert)
- Wednesday, May 15th
9:00-10:30 Explorative data science, unsupervised machine learning (Laura, Matthias) 10:30-11:00 Coffee 11:00-12:45 Data Visualization theory (Jan, Laura) 12:45-13:45 Lunch 13:45-15:15 Plotting using Seaborn (Marie-Sophie, Jan) 15:15-15:45 Coffee 15:15-17:15 Wrap up & work on your own data 17:15-18:00 Departure
Would like to acknowledge people who shared trainng materials and example data which we are reusing in this training school:
- Nasreddin Abolmaali, OncoRay, TU Dresden
- Célia Baroux, University of Zurich
- Sigrun M. Gustafsdottir, Broad Institute of Harvard and MIT
- Nicolas Rivron
- Johannes Soltwedel, PoL, TU Dresden
- Marcelo Leomil Zoccoler, PoL, TU Dresden
- Ryan Savill George, MPI CBG Dresden
We acknowledge the financial support by the Federal Ministry of Education and Research of Germany and by Sächsische Staatsministerium für Wissenschaft, Kultur und Tourismus in the programme Center of Excellence for AI-research „Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig“, project identification number: ScaDS.AI