Bioimaging
Tutorials covering Bioimaging
Material
You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides (slides) and tutorial (tutorial) buttons below.FAIR Data, Workflows, and Research
| Lesson | Slides | Hands-on | Recordings | Input dataset | Workflows |
|---|---|---|---|---|---|
| FAIR Bioimage Metadata | |||||
| REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data |
Imaging
| Lesson | Slides | Hands-on | Recordings | Input dataset | Workflows |
|---|---|---|---|---|---|
| Where to start with bioimage analysis in Galaxy |
Contributors
This material was contributed to by:
Björn Grüning
Maria Arrate Munoz Barrutia
Paul De Geest
Diana Chiang Jurado
Maarten Paul
Riccardo Massei
Katarzyna Kamieniecka
Helena Rasche
Saskia Hiltemann
Beatriz Serrano-Solano
Khaled Jum'ah
Leonid Kostrykin
Julia Jakiela
Krzysztof Poterlowicz
Laura Cooper
Funding
These individuals or organisations provided funding support for the development of this resource
ELIXIR Europe
UFR
NFDI4Bioimage
NFDI4BIOIMAGE is a nationwide community of researchers, imaging specialists and data experts who work with biological image data. We support anyone who generates,
analyses or manages microscopy and bioimaging data. Our aim is to make imaging data easier to find, access, reuse and share by providing practical tools,
clear guidance and hands on training. We collaborate closely with laboratories and research communities across Germany to understand their needs and develop solutions
that help with real everyday challenges. Whether you are building new workflows, exploring advanced analysis methods or improving your data management,
NFDI4BIOIMAGE offers support, expertise and a welcoming network.
DFG
DASH UK
This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.