Scientific Computing Facility
Reproducible Bio-image analysis pipelines with Python
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Europe/Berlin
Top Floor CSBD
Top Floor CSBD
Description
Objectives:
- Introduction on Image anlaysis
- How to use the python environmnent and code libraries
- Choosing algorithms for your analysis
- Choosing analysis paarmeters
- Removing extraneous factors
- Finalising pipeline: testing for reproducibility
Level: Intermediate
Format: Instructor explains the material and does live-coding. Learners follow live-coding examples and solve exercises on their laptops.
Who can participate / Capacity: All CBG members. max 20 places.
Prerequisites:
- Basic idea of image anlysis
- Atleast beginner level experience with Python
- Basic idea of Jupyter notebook is a plus
This workshop is part of the workshop series on reproducibility and good IT practices offered by the Scientific Computing Facility in September 2025.
Organised by
Ivey Sebastian (MPI-CBG; Scientific Computing Facility) & Anthony Vega (MPI-CBG; Scientific Computing Facility)
Surveys
Course Survey