SIMON CHERRY, UC Davis
Total-Body PET: A new tool for systems medicine
Simon Cherry develops novel technologies and methods for quantitative biomedical imaging. The Cherry Lab focuses on molecular imaging using positron emission tomography (PET) scanning; in particular developing faster and more sensitive detection technologies. The laboratory has developed technologies with widespread applications for improving diagnosis, stratifying patients for treatment and assessing response to that treatment. The team is currently studying pathologic processes that involve multiple organs systems or the entire body. Cherry co-leads the EXPLORER project, a collaboration with several colleagues to develop the world’s first total-body PET scanner.
CAROLA BIBIANE SCHÖNLIEB, Cambridge
From variational modelling to deep learning for biomedical imaging
Carola Bibiane Schönlieb is Professor of Applied Mathematics and Head of the Cambridge Image Analysis (CIA) group at the Dep. of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge. Her research interests focus on variational methods, partial differential equations and machine learning for image analysis, image processing and inverse imaging problems. She has active interdisciplinary collaborations with clinicians, biologists and physicists on biomedical imaging topics, chemical engineers and plant scientists on image sensing, as well as collaborations with artists and art conservators on digital art restoration.
VALENTINA EMILIANI, Paris
Holographic manipulation of neuronal circuits
Valentina Emiliani’s lab has pioneered the use of wave-front engineering for neuroscience. Precisely, they have proposed a number of approaches such as computer-generated holography, generalized phase contrast and temporal focusing to sculpt the excitation volume with a shape perfectly tailored on the selected neuronal target. Combined with optogenetics, wave front shaping enables the control of neuronal activity with unprecedent spatiotemporal precision. With these approaches, this lab first demonstrated simultaneous 2P optogenetics stimulation of multiple cell, all optical neuronal control at cellular resolution in freely moving mice, and 3D neuronal circuits manipulation with sub-millisecond temporal precision and single cell resolution.
Today, her research focuses on the use of these approaches for the study of the neural circuits involved in vision using mice and zebrafish models.
AXEL MONTAGNE, Edinburgh
Prediction of cognitive decline using contrast MRI
Axel Montagne’s career has been focusing on how cerebrovascular dysfunctions contribute to neurodegeneration and dementia in both animal models and humans. He combines molecular approaches with rodent non-invasive imaging, particularly MRI, PET and two-photon microscopy, to study the causes and effects of blood-brain barrier (BBB) dysfunction. His group aims to understand how, when, and where endothelial cells and pericytes lining the blood-brain barrier become dysfunctional in the early stages of age-related cognitive decline using cutting-edge brain imaging technology. The ultimate goal is to develop precise treatments targeting brain vasculature to protect brain functions.