Pavitra S. Rudraiah ^1,2 Rafael Camacho ³ Julia Fernandez-Rodriguez ³ Dror Fixler ⁴ Jan Grimm ⁵ Florian Gruber ^6,7 Matúš Kalaš ⁸ Christopher Kremslehner ^6,7 Claudia Kuntner ^10,9 Daniela Kuzdas-Wood ¹¹ Joakim Lindblad ¹² Julia Mannheim ^13,14 Martina Marchetti-Deschmann ^15,7 Raphaël Marée ¹⁶ Perrine Paul-Gilloteaux ¹⁷ Paula Sampaio ¹⁸ Peter Sandbichler ¹⁵ Anna Sartori-Rupp ¹⁹ Nataša Sladoje ^12* Paul Verkade ²⁰ Andreas Walter ^21* Samuele Zoratto ^15,7

• ¹ Institute for Nanotechnology and Advanced Materials, The Unit for Interdisciplinary Studies, Bar-Ilan University, Ramt Gan, Tel Aviv District, Israel
• ² Center for Optical Technologies, Aalen, Germany
• ³ Centre for Cellular Imaging, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
• ⁴ The Faculty of Engineering and the Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
• ⁵ Molecular Pharmacology Program, Sloan Kettering Insitute, Memorial Sloan Kettering Cancer Center, New York, United States
• ⁶ Department for Dermatology, Medical University of Vienna, Gürtel, Vienna, Austria
• ⁷ Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence - SKINMAGINE, Vienna, Austria
• ⁸ Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Bergen, Bergen, Hordaland, Norway
• ⁹ Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Vienna, Austria
• ¹⁰ Medical Imaging Cluster (MIC), Medical University of Vienna,, Vienna, Austria
• ¹¹ Division of Anatomy, CMI, Medical University of Vienna, Vienna, Austria
• ¹² Centre for Image Analysis, Department of Information Technology, Uppsala University, Uppsala, Uppsala, Sweden
• ¹³ Werner Siemens Imaging Centre, Tübingen, Baden-Württemberg, Germany
• ¹⁴ Cluster of Excellence for Individualization of Tumor Therapies through Molecular Imaging and Functional Identification of Therapeutic Target Structures, University of Tübingen, Tübingen, Baden-Württemberg, Germany
• ¹⁵ Institute of Chemical Technologies and Analytics, Faculty of Technical Chemistry, Vienna University of Technology, Wien, Vienna, Austria
• ¹⁶ Montefiore Institute, School of Engineering, University of Liege, Liège, Liège, Belgium
• ¹⁷ MicroPICell Facility UAR BioCore, Nantes Université,, Nantes, France
• ¹⁸ Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Porto, Portugal
• ¹⁹ NanoImaging Core facility, Institute Pasteur, Paris, France
• ²⁰ School of Biochemistry, Faculty of Life Sciences, University of Bristol, Bristol, England, United Kingdom
• ²¹ Center for Optical Technologies, Aalen University, Aalen, Germany

Correlated Multimodal Imaging (CMI) gathers information about the same specimen with two or more modalities that -combined -create a composite and complementary view of the sample (including insights into structure, function, dynamics and molecular composition). CMI allows one to reach beyond what is possible with a single modality and describe biomedical processes within their overall spatio-temporal context and gain a mechanistic understanding of cells, tissues, and organisms in health and disease by untangling their molecular mechanisms within their native environment. The field of CMI has grown substantially over the last decade and previously unanswerable biological questions have been solved by applying novel CMI workflows. To disseminate these workflows and comprehensively share the scattered knowledge present within the CMI community, an initiative was started to bring together imaging, image analysis, and biomedical scientists and work towards an open community that promotes and disseminates the field of CMI. This community project was funded for the last 4 years by an EU COST Action called COMULIS (COrrelated MUltimodal imaging in the LIfe Sciences). In this review we share some of the showcases and lessons learnt from the action. We also briefly look ahead at how we anticipate building on this initial initiative.