Merge pull request #657 from NFDI4BIOIMAGE/git-bob-mod-bMCLc3yBEU

Add content from communities: nfdi4bioimage, gerbi, euro-bioimaging, neubias, bio-formats, globias, rdm4mic

resources/nfdi4bioimage.yml

@@ -10030,3 +10030,56 @@ resources:
   url:
   - https://zenodo.org/records/14769820
   - https://doi.org/10.5281/zenodo.14769820
+- authors:
+  - Moore, Josh
+  description: 'Talk given at Georg-August-Universität Göttingen Campus
+    Institute Data Science23rd January 2025
+
+    https://www.uni-goettingen.de/en/653203.html'
+  license: cc-by-4.0
+  name: '[CIDAS] Scalable strategies for a next-generation of FAIR bioimaging'
+  num_downloads: 99
+  publication_date: '2025-01-23'
+  submission_date: '2025-02-11T11:18:09.744263'
+  url:
+  - https://zenodo.org/records/14845059
+  - https://doi.org/10.5281/zenodo.14845059
+- authors:
+  - Bortolomeazzi, Michele
+  - Schmidt, Christian
+  - Mallm, Jan-Philipp
+  description: 'omero-vitessce: an OMERO.web plugin for multi-modal data viewing.
+
+    OMERO is the most used research data management system (RDM) in the bioimaging
+    domain, and has been adopted as a centralized RDM solution by several academic
+    and research institutions. A main reason for this is the ability to directly view
+    and annotate images from a web-based interface. However, this feature of OMERO
+    is currently underpowered for the visualization of very large or multimodal datasets.
+    These datasets, are becoming a more and more common foundation for biological
+    and biomedical studies, due to the recent developments in imaging, and sequencing
+    technologies which enabled their application to spatial-omics. In order to begin
+    to provide this multimodal-data capability to OMERO, we developed omero-vitessce
+    (https://github.com/NFDI4BIOIMAGE/omero-vitessce/tree/main), a new OMERO.web plugin
+    for viewing data stored in OMERO with the Vitessce (http://vitessce.io/) multimodal
+    data viewer. omero-vitessce can be installed as an OMERO.web plugin with PiPy
+    (https://pypi.org/project/omero-vitessce/), and allows users to set up interactive
+    visualizations of their images of cells and tissues through interactive plots
+    which are directly linked to the image. This enables the visual exploration of
+    bioimage-analysis results and of multimodal data such as those generated through
+    spatial-omics experiments. The data visualization is highly customizable and can
+    be configured not only through custom configuration files, but also with the graphical
+    interface provided by the plugin, thus making omero-vitessce a highly user-friendly
+    solution for multimodal data viewing. most biological datasets. We plan to extend
+    the interoperability of omero-vitessce with the OME-NGFF and SpatialData file
+    formats to leverage the efficiency of these cloud optimized formats.
+
+    The three files in this Zenodo Record are all the same poster saved in different
+    format all with high resolution images.'
+  license: cc-by-4.0
+  name: 'Introducing OMERO-vitessce: an OMERO.web plugin for multi-modal data'
+  num_downloads: 111
+  publication_date: '2025-02-07'
+  submission_date: '2025-02-11T11:18:10.238121'
+  url:
+  - https://zenodo.org/records/14832855
+  - https://doi.org/10.5281/zenodo.14832855