Bioimage data for spatial omics

Spatial omics is a cutting-edge field that has revolutionised our understanding of biological systems by integrating spatial information with omics technologies. Traditional omics approaches provide valuable insights into the molecular landscape of biological samples, but they often overlook the spatial organisation critical for understanding complex biological phenomena. Spatial omics bridges this gap by preserving spatial context, allowing researchers to unravel the spatial heterogeneity and interactions within tissues and organisms at molecular level. 

Spatial omics represents a comprehensive framework encompassing diverse disciplines such as spatial-transcriptomics, spatial-proteomics, and spatial-metabolomics. Within this framework, spatial data (i.e. images, segmentations etc.) pertinent to each of these domains is centralised within the BioImage Archive, while the corresponding omics data is deposited in relevant omics repositories. These datasets can then be linked to one another. 

You can explore the published spatial omics datasets available at BioImage Archive here: Spatial omics

To delve deeper into the BioImage Archive and learn how to effectively utilise it for your research, explore the following tutorial:

Go to ‘BioImage Archive: Quick tour‘

Once you have completed this tutorial, rejoin the collection and we will proceed to the next section, focusing on methods and tools useful for multi-omics data analysis.