MIHCSME template example for "Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation"

NL-BioImaging AM is a distributed research infrastructure aimed at promoting progress in the most cutting edge microscopy technologies and providing open access to these technologies to a broad community of academic and industrial users. All Netherlands bio(medical) microscopy centers participate.

FAIR (Findable Accessible, Interoperable and Reusable) data management is a challenge for the optical microscopy community due to a high diversity in participating research fields and methodologies, ...

This project collects and maintains minimum information metadata templates designed and used in the National NL-Bioimaging initiative. The templates are based on the REMBI standards and contribute to FAIR bioimaging data in the Netherlands, together with data management in the OMERO database.

User metadata is an essential part of experimental data. Scientists need to understand underlying conditions and experimental procedures in order to model or investigate relevant biological questions. Currently, only a small fraction of the High Content SCreening (HCS) investigations are deposited for reuse by the community, and an even smaller fraction of that data is standards-compliant. For reusing data, scientists need to be able to understand how data was generated, under which experimental ...

A minimal metadata template for high content screening experiments in microscopy. The template is compliant with REMBI (Recommended Metadata for Biological Images) and the ISA framework (Investigations, Studies and Assays).

Here you will find guidelines for filling in MIHCSME metadata templates, as well as examples of published HCS studies that use MIHCSME.

An example template for screen published in IDR (idr0002, screenA).