Services
Training Material Hub
Discover this powerful knowledge base for bioimage analysis materials — a growing, community-driven search index designed to make learning in bioimaging and research data management easier, faster, and more accessible.
Who is the service recommended for?
- Life scientists
- Bioimage analysts
- Data stewards and facility staff
- Trainers and course organizers
Which infrastructure do you need?
- First exploration: Internet access and browser
- Computational tools: recommended for use of notebooks or hands-on code examples including setup of local python environments and more.
- Domain tools: Some materials (OMERO, Fiji/Image J and others) may require local installations. See instructions for respective tools.
Which expertise do you need?
- Basic understanding of scientific research and bioimaging is sufficient to explore materials.
- Some advanced materials may required a more profound knowledge of the respective image analysis tool, workflow or else.
What is the Training Hub and how can you benefit from it?
This website is an interactive Jupyter Book that aggregates several hundreds of curated training resources covering microscopy, bioimage analysis, and FAIR research data management practices. It acts as a searchable index where scientists can quickly find relevant tutorials, lectures, datasets, and tools using tags such as topic, keyword, or category.
More than just a collection of links, the hub is continuously evolving, integrating community contributions to make bioimaging data more findable, accessible, interoperable, and reusable (FAIR). It is further open to scientific community for contribution of newest materials.
Imaging scientists benefit from
- Faster searches in this structured repository
- Learning at the individual level from basic to advanced
- Access to newest materials in this growing material collection for reuse
- Option for own contributions to the knowledge base
How to get started:
- Visit the NFDI4BIOIMAGE Training Hub start site: Familiarize with this Jupyter book and learn more how to use it, how material is licensed and more.
- Use the search bar: Find material of your topic of interest, such as metadata, OMERO or python to filter content.
- Navigate by tag or type: Explore using domain tags (such as Bioimage analysis) or content types (slides, notebooks and more) to refine results.
- Explore entries: Each item links to the original training resource that you can look at
- Reuse material for your own research or training purposes: Keep in mind to use material according to the regulations of its license. This includes the citation of the author(s) of the material in case of the often used creative commons license CC-BY 4.0 license. Find more information here.
- Contribute your own resources: Follow the Contributing instructions to list and share your own training materials with the community.