Organ-Cell-Molecular Imaging (OCMI): Integrating Human Heart Bioimaging Across Scales Using Foundation Models

How to map a whole Human organ at molecular resolution? We aim to develop a multi-modal bioimaging platform to enable Organ to Cell to Molecular Imaging (OCMI), using machine learning (ML) to link two novel techniques: high-definition spatial multi-omics and hierarchical phase- contrast tomography (HiP-CT). In the Foundation phase, our focus will be on developing techniques, demonstrating feasibility, and expanding collaborations. In scale-up, we will further advance imaging techniques, validate and refine ML models, and extend applications to disease, dynamics, and other organs. To showcase the potential of integrating bioimaging across scales, we will investigate 'connectomics' in the human heart at both structural and molecular levels. This will shed light on tissue and organ engineering, by mapping both gene expression and structural architecture in 3D. Central to our programme is making phase-contrast imaging accessible to all by bringing HiP-CT into laboratories and leveraging virtual platforms for partnership and dissemination. We believe that connecting morphology-based imaging with molecular modalities across scales, technologies, and disciplines will have a major impact on human health, medical education, and public engagement.