Recently added (9)#
AI4Science Training @ UFZ Magdeburg#
Höck, Lina Lisa, Robert Haase
Published 2026-03-27
Licensed CC-BY-4.0
This slide deck accompanies the AI4Science for scientists at UFZ Magdeburg: https://scads.github.io/ai4science-ufz-madgeburg-2026/intro.html It outlines the topics:
Introduction to Artificial Intelligence, AI systems, and language models
Application areas and limitations of AI in text generation
AI-assisted literature research
Prompt engineering
Prompting with large context
Knowledge distillation
Text Analysis / Information Retrieval
Embeddings and retrieval-augmented generation
Data analysis
Data and code generation
Bias
Privacy-compliant use
Copyright
EU AI Act
Easy creation of your Bioimage Data Management Plan#
Müller, Maximilian E.
Published 2026-03-11
Licensed CC-BY-4.0
This short presentation provides a concise introduction to Data Management Plans (DMPs) in the context of and bioimaging. It explains what DMPs are, why they are important for research projects, and how they contribute to transparent, reproducible, and FAIR research practices. The slides outline commonly used templates and tools that support researchers in creating and maintaining DMPs. In addition, the presentation highlights important considerations for bioimaging data, including file formats, metadata annotation, handling of large data sets and open software tools. Designed as a brief educational resource, the presentation can be used for introductory teaching, workshops, or self-learning by researchers and students who are new to research data management and data management planning. We acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659.
GerBI community meeting 2026: Developing towards the ideal FAIR research data management environment#
Soltwedel, Johannes Richard
Published 2026-03-16
Licensed CC-BY-4.0
The German BioImaging research software engineering (RSE) unit is active in a wide collection of projects. Here we sketch out how we envision these to function together towards a better research data management environment for our community of researchers, microscopists and bio-image analysts.
How Generative Artificial Intelligence impacts Bio-Image Data Science#
Robert Haase
Published 2026-02-22
Licensed CC-BY-4.0
In this slide deck we dive into generative artificial intelligence in particular used for code generation and see how it impacts Bio-Image Data Science. We learn about benchmarking large language models for data analysis code generation, and how to use them practically in our work.
NFDI4BIOIMAGE Helpdesk Deutschlandkarte#
Fuchs, Vanessa Aphaia Fiona, Jens Wendt, Müller, Maximilian E., Cornelia Wetzker, Mohsen Ahmadi, Riccardo Massei
Published 2026-03-12
Licensed CC-BY-4.0
SWAT4HCLS Tutorial: KG Construction with ONTOP#
Carsten Fortmann-Grote, Damien Goutte-Gattat, Lubiana Alves, Tiago, Josh Moore, Olvera Cabrera, Daniel, Andra Waagmeester
Published 2026-03-23
Licensed CC-BY-4.0
Source files and pdf of the tutorial held at SWAT4HCLS 2026
Transforming ome-zarr: What’s (going to be) new in 0.6#
Soltwedel, Johannes Richard
Published 2026-03-31
Licensed CC-BY-4.0
Summary of new features and use cases of transformation metadata in the upcoming ome-zarr 0.6 metadata standard
[2026 GerBI Community Meeting] NFDI4BIOIMAGE and its Help Desk for Community Support in Bioimage Research Data Management#
Cornelia Wetzker, Müller, Maximilian E., Fuchs, Vanessa Aphaia Fiona
Published 2026-03-19
Licensed CC-BY-4.0
The poster presents the consortium NFDI4BIOIMAGE with its objectives, key achievements until February 2026 and the support offered by its data stewardship team and help desk service. We recommend strategies to make bioimage data FAIRer along the individual stages of the research data life cycle. Version 2 additionally comprises the poster in svg format for more flexible reuse.
The consortium NFDI4BIOIMAGE is funded by DFG grant number NFDI 46/1, project number 501864659.
ims file that won’t open in FIJI#
ian Hertzler
Published 2026-03-03
Licensed CC-BY-4.0
imaris file that will not open in fiji. for troubleshooting purposes.
https://zenodo.org/records/18852087
https://doi.org/10.5281/zenodo.18852087