elmi Community Room Workshop
Tom Boissonnet, Heinrich Heine University Düsseldorf, Germany
The Recommended Metadata for Biological Images (REMBI) serve as a valuable guide for researchers in determining how to annotate their microscopy data effectively. In this workshop, we will demonstrate their utilization during a microscopy project using the data management system OMERO. We will explore the optimization of data organization using datasets and tags, facilitating an efficient annotation workflow. Furthermore, we will look at a batch annotation workflow, essential for High-Content-Screening experiments, consisting of importing metadata from generic CSV files. Finally, we will illustrate how our REMBI annotations can be re-used during figure creation with OMERO.figure.