This resource will enable Australian researchers to understand the precise molecular makeup of the intracellular environment.
Artificial Intelligence (AI) bioinformatics approaches will be used 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.
The Integrated Microscopy and Proteomics 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.
This online platform will host the final, released and annotated datasets and permit presentation of the data to the community.
This work will have immediate application in fields such as drug discovery, infectious diseases and molecular diagnostics.

Core features



Who is this project for?
- Researchers
- Research organisations
- Industry – biotechnology and imaging and analytics instrumentation industry
What does this project enable?
This project will enable a comprehensive interpretation of cellular cryo-EM data while providing a visual context for cellular analytics. It will further create a comprehensive collection of imaging and analytics data from a variety of biological samples. With a large enough pool of datasets, it will be possible to analyse the correlation of imaging and analytics across different samples and understand biological processes beyond the point provided by individual studies.
Handy resources
- Read about other successful Cross-NCRIS projects
- View the protein data bank
- To access protein sequence data visit UniProt
- To browse vertebrate genomes visit Ensembl