Image annotation

Tutorials covering Image annotation

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Imaging

Lesson Slides Hands-on Recordings Input dataset Workflows
Execute a BiaPy workflow in Galaxy
Image segmentation Image annotation Deep learning Conversion Overlay 3D image Volume rendering
Training Custom YOLO Models for Segmentation of Bioimages
Image segmentation Image annotation Deep learning
Using BioImage.IO models for image analysis in Galaxy
Image segmentation Image annotation Deep learning

Contributors

This material was contributed to by:

orcid logoBjörn Grüning avatar Björn Grüningorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoRiccardo Massei avatar Riccardo Masseiorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoAnne Fouilloux avatar Anne FouillouxDaniel Franco Barranco avatar Daniel Franco BarrancoMaria Arrate Munoz Barrutia avatar Maria Arrate Munoz Barrutiaorcid logoDiana Chiang Jurado avatar Diana Chiang JuradoArif ul Maula Khan avatar Arif ul Maula Khanorcid logoLeonid Kostrykin avatar Leonid KostrykinYi Sun avatar Yi Sunorcid logoAnup Kumar avatar Anup Kumar

Funding

These individuals or organisations provided funding support for the development of this resource

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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.
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OSCARS
The OSCARS project has received funding from the European Commission’s Horizon Europe Research and Innovation programme under grant agreement No. 101129751
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de.NBI