COMULISglobe - Chan Zuckerberg Initiative


We are delighted and proud to announce the founding of Chan-Zuckerberg-Initiative to the "COMULISglobe: Multimodal Imaging across Scales in Life Sciences" project to harness the power of multimodal imaging across scales from basic research to clinical diagnostics, facilitate access, and train a new generation of scientists!



The main goal of this initiative is to harness the power of multimodal imaging across scales from basic research to clinical diagnostics,

facilitate access, and train a new generation of scientists for whom it will be the new normal.


This project will consolidate and extend a collaborative and innovative network that promotes MultiModal Imaging and analysis across scales (MMI) from biological research to clinical diagnostics, and establish a global multimodal imaging association (COMULISglobe) to ensure long-term sustainability. MMI integrates the best features of combined techniques and overcomes limitations faced when applying single modalities independently. MMI relies on the joint expertise of biologists, physicists, clinicians, and computer scientists, and depends on coordinated activities and knowledge transfer between technology developers and users. To achieve this inherently interdisciplinary goal, it is indispensable to establish a network of scientists across continents and disciplines, from academia and industry, including transnational research facilities (e.g. synchrotrons, Euro-BioImaging ERIC), to foster and market MMI as a versatile tool in biomedical research and diagnostics. We will capitalize on COMULIS, a European initiative (www.comulis.eu), and extend it globally and sustainably. The network will raise awareness of the manifold benefits of MMI, train researchers, and promote a scientific mindset enthusiastic about interdisciplinary imaging and analysis. The MMI network will help bridge the gap between biological and clinical imaging, identify, fund, and showcase novel multimodal pipelines, and develop, evaluate and publish correlation software through dedicated networking activities, including conferences, training schools, open databases, and fellowships for lab exchanges, access to research infrastructures, and conference attendance.

All outputs of the project will be open access.


Further information on funding opportunities will follow shortly.