Corrado Cali
Associate Professor, Department of Neuroscience, University of Turin · University of Turin
Research Interests
MR, AR, VR, interactive metaverse, surgical simulation, surgical planning, surgical support
Biography
I trained an electronic engineer at Politecnico di Torino, Italy. After my MSc in 2006, in the lab of Henry Markram at EPFL (Lausanne, Switzerland), I became interested in neuroscience. In the same year I joined the lab of Paola Bezzi at UNIL (University of Lausanne, Lausanne, Switzerland), where I got a PhD in 2012. My research was focused in elucidating the physiological role of astroglial cells in the modulation of synaptic transmission. After one year as postdoctoral fellow in Graham Knott’s lab, where I enriched my skills in volume electron microscopy, I joined Pierre Magistretti’s lab in KAUST (King Abdullah University of Science and Technology, Thuwal, Saudi Arabia). Here, I investigated the mechanisms of astrocyte-neuron metabolic coupling using morphological and 3D imaging approaches.In particular, pioneered the use of VR in basic neuroscience. In 2020 I joined the University of Turin (Italy), where I am associate professor of Human Anatomy.
Education
I graduated in Biomedical Engineering in 2006 from Politecnico di Torino, following a undergraduate internship at EPFL. In 2012 I obtained a PhD in Neuroscience from the Lemanic Neuroscience School (University of Lausanne and University of Geneva). During this period, I was a visiting scholar in the laboratory of Vidar Gundersen in Oslo (Norway).
Recent Scopus Publications
- Ultrastructure of astrocytes using volume electron microscopy: A scoping review
- The Ultrastructural Properties of the Endoplasmic Reticulum Govern Microdomain Signaling in Perisynaptic Astrocytic Processes
- Exploring the effect of red and near-infrared light on neurodegenerative disease: A focus on amyotrophic lateral sclerosis, Charcot’s devastating disease of the motor system
- Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis
- Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications
Links
- ORCID https://orcid.org/0000-0003-4856-0835
- Google Scholar https://scholar.google.com/citations?user=PRkBpAwAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=24337622600