# Recently added (10) ## 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 [https://zenodo.org/records/19246441](https://zenodo.org/records/19246441) [https://doi.org/10.5281/zenodo.19246441](https://doi.org/10.5281/zenodo.19246441) --- ## Building Research Infrastructure Communities That Last Carole Goble Published 2026-05-01 Licensed CC-BY-4.0 Invited keynote for  19th OME Community Meeting, Düsseldorf, Germany, 28-30 April 2026, https://www.openmicroscopy.org/events/ome-community-meeting-2026.html [https://zenodo.org/records/19949157](https://zenodo.org/records/19949157) [https://doi.org/10.5281/zenodo.19949157](https://doi.org/10.5281/zenodo.19949157) --- ## From Microscope to Repository: Managing Image Data with OMERO Müller, Maximilian E. Published 2026-05-05 Licensed CC-BY-4.0 This presentation was developed by NFDI4BIOIMAGE and held online as part of the CRC 1551 Data Week on 05. May 2026. It provides a general introduction to research data management (RDM) and public data deposition and highlights their specific relevance in research. Furthermore, it introduces OMERO as a platform for structured data storage, metadata management, and collaborative access and introduces repositories for imaging data. The slides are intended for educational use and may serve as a resource for teaching and training in research data management within the life sciences. We acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659. [https://zenodo.org/records/20039402](https://zenodo.org/records/20039402) [https://doi.org/10.5281/zenodo.20039402](https://doi.org/10.5281/zenodo.20039402) --- ## GloBIAS mission and working groups figure Corbat, Agustin Andres, Walther, Christa G., de la Ballina, Laura R., Condon, Nicholas David, Felder, Alessandro A., Martin Schätz, Bettina Schmerl, Ko Sugawara, Clara Prats, Anna Klemm, Florian Levet, Kota Miura, Paula Sampaio, Christian Tischer, Rocco D'Antuono, Cimini, Beth A., Robert Haase Published 2026-04-17 Licensed CC-BY-4.0 GloBIAS figure (available in .ai, .pdf and .png formats). [https://zenodo.org/records/19631650](https://zenodo.org/records/19631650) [https://doi.org/10.5281/zenodo.19631650](https://doi.org/10.5281/zenodo.19631650) --- ## Poster and Lightning Talk for "enriched" OMERO from the OME Community Meeting 2026 Jens Wendt Published 2026-05-04 Licensed CC-BY-4.0 This publication contains the Poster and accompanying Lightning Talk about the "enriched" OMERO held at the OME Community Meeting 2026 in Düsseldorf   We acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659. [https://zenodo.org/records/20024684](https://zenodo.org/records/20024684) [https://doi.org/10.5281/zenodo.20024684](https://doi.org/10.5281/zenodo.20024684) --- ## Process management for the institutional deployment of OMERO as an image data RDM platform Michele Bortolomeazzi, Christian Schmidt Published 2026-04-17 Licensed CC-BY-4.0 OMERO has been established as a valuable, community-tested platform to facilitate research data management with bioimaging data. It allows the central, secure storage of original image files, collaborative access and analysis, metadata curation, and figure creation directly from the original data. However, deploying OMERO as a solution for laboratories, departments, or whole institutes requires a coordinated multi-stakeholder process. Consequently, researchers who would like to use OMERO as their RDM solution may be overwhelmed by the effort that an OMERO implementation demands. On the basis of the „Information Infrastructure for BioImage Data“ (I3D:bio) project, and the NFDI4BIOIMAGE consortium, we have developed structured processes and installation management approaches to realize institutional OMERO instances as a resource for all researchers. In this workshop, we share hands-on experience for the initiation and steering the OMERO implementation process. This workshop is directed primarily at research support facility staff and leaders, senior researchers, and project managers in the field of bioimaging-data-driven research fields. [https://zenodo.org/records/19627003](https://zenodo.org/records/19627003) [https://doi.org/10.5281/zenodo.19627003](https://doi.org/10.5281/zenodo.19627003) --- ## SWAT4HCLS Tutorial: KG Construction with ONTOP Carsten Fortmann-Grote, Damien Goutte-Gattat, Lubiana Alves, Tiago, Josh Moore, Olvera Cabrera, Daniel, Andra Waagmeester Published 2026-04-07 Licensed CC-BY-4.0 Source files and pdf of the tutorial held at SWAT4HCLS 2026 [https://zenodo.org/records/19450032](https://zenodo.org/records/19450032) [https://doi.org/10.5281/zenodo.19450032](https://doi.org/10.5281/zenodo.19450032) --- ## 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 [https://zenodo.org/records/19335305](https://zenodo.org/records/19335305) [https://doi.org/10.5281/zenodo.19335305](https://doi.org/10.5281/zenodo.19335305) --- ## Workflow and Example Dataset for Python-Based Stitching of Confocal Zebrafish Images from VAST BioImager-Based Screening Dutta, Suchetana Bias, Sarai Valerio-Cabrera Published 2026-02-28 Licensed CC-BY-4.0 A Python-based stitching script for individual tiles obtained with an automated imaging platform that combines the Vertebrate Automated Screening Technology (VAST) BioImager system (Union Biometrica), the Large Particle (LP) Sampler (Union Biometrica), and the Zeiss Cell Observer Spinning Disk Confocal Microscopic System (SDCM) (Early et al., 2018). The Lyons Lab (https://www.lyons-lab.com/) designed the system as a screening tool for automated, high-resolution, in vivo imaging of 2–5-day-old zebrafish larvae. Two datasets are available to test the script, along with the final stitched files for comparison.  [https://zenodo.org/records/18712011](https://zenodo.org/records/18712011) [https://doi.org/10.5281/zenodo.18712011](https://doi.org/10.5281/zenodo.18712011) --- ## [Chemnitzer Linux Tage 2026] Open Source VDI: SPICE / QEMU with Video stream support von Suchodoletz, Dirk, Rafael Gieschke, Michael Scherle Published 2026-03-28 Licensed CC-BY-4.0 The poster was presented at the Chemnitzer Linux Tage 2026. Additionally, the state of developments in Open Source VDI (OSVDI) was further presented in a talk by Rafael Gieschke, Michael Scherle and Dirk von Suchodoletz. The solution developed in WP2 of NFDI4BIOIMAGE provides a complete remote desktop representation via virtualization or cloud environments, accessible over a network connection. The goal is to implement a typical imaging workstation available remotely using a fully open and freely available software stack. OSVDI aims to complete a free and open IT toolkit in the spirit of digital sovereignty. The talk therefore particularly addresses co-developers as well as IT decision-makers and infrastructure administrators, with the goal of promoting the project beyond NFDI4BIOIMAGE and ensuring its long-term sustainability. Link to the recording of the talk (in German): https://media.ccc.de/v/clt26-417-open-source-vdi-hw-beschleunigter-remote-access-zu-libvirt Link to the slides of the talk (in German): https://chemnitzer.linux-tage.de/2026/media/programm/folien/417.pdf The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure - NFDI 46/1 - 501864659. [https://zenodo.org/records/19469051](https://zenodo.org/records/19469051) [https://doi.org/10.5281/zenodo.19469051](https://doi.org/10.5281/zenodo.19469051) ---