<p dir="ltr">The Integrated Microscopy and Proteomics (IMP) project is using artificial intelligence bioinformatics approaches to seamlessly integrate and interrogate high-resolution imaging data (derived from optical and electron microscopy and X-ray crystallography) with proteomic/genomic data and gene ontology/protein interaction network data.</p><p dir="ltr">The project will enable a new, publicly accessible, national-scale data asset to underpin the integration of molecular imaging with bio-analytics, driving discovery research across the whole of the life sciences.</p><p dir="ltr">The resulting online platform will host the final, released and annotated datasets and permit presentation of the data to the community.</p><p dir="ltr">This work will have immediate application in fields such as drug discovery, infectious diseases and molecular diagnostics.</p><p dir="ltr">The project involves the following elements:</p><ul><li>collection of comprehensive protein and electron microscopy (EM) data across numerous disparate community and facility databases</li><li>integration of molecular imaging and bio-analytics and application of published approaches – including artificial intelligence tools – to process, segment and label EM tomograms and populate with the appropriate metadata</li><li>tailored data asset publicly available through a robust resource for multimodal imaging data storage and visualisation, a resource to integrate and visualise omics data with multimodal imaging, and a curated, labelled and <a href="https://ardc.edu.au/fair-data/">FAIR</a> public, web-based repository of data.</li></ul>