Corrado Cali

Scopus Publications

Ultrastructure of astrocytes using volume electron microscopy: A scoping review
Vanessa Chiappini, Maria Fernanda Veloz Castillo, Francesco Biancardi, Ferdinando Di Cunto, Pierre J. Magistretti, Alessandro Vercelli, Marco Agus, Corrado Calì
Journal of Physiology, 2026
The morphological features of astrocytes are crucial for brain homeostasis, synaptic activity and structural support, yet remain poorly quantified. As a result of the nanometre‐sized cross‐section of neuropil astrocytic processes, electron microscopy (EM) is the only technique availabe to date capable of revealing their finest morphologies. Volume EM (vEM) techniques, such as serial block‐face or focused ion beam scanning EM, enable high‐resolution imaging of large fields and allow more extensive 3‐D model analyses, revealing new astrocytic morphological features. This scoping review aims to summarize the state of the art of astrocyte ultrastructural analysis. This review included 45 of 439 non‐duplicated articles from a Pubmed search, categorizing studies by research focus, animal models, brain region, vEM techniques and segmentation methods. By answering classical questions such as volume, surface area, branching complexity and synaptic ensheathment reported in the literature, this work is a valuable resource for scientists working on structural biology or computational neuroscience. image
The Ultrastructural Properties of the Endoplasmic Reticulum Govern Microdomain Signaling in Perisynaptic Astrocytic Processes
Audrey Denizot, Marı́a Fernanda Veloz Castillo, Pavel Puchenkov, Corrado Calì, Erik De Schutter
GLIA, 2026
Astrocytes are now widely accepted as key regulators of brain function and behavior. Calcium (Ca 2+ ) signals in perisynaptic astrocytic processes (PAPs) enable astrocytes to fine‐tune neurotransmission at tripartite synapses. As most PAPs are below the diffraction limit, their content in Ca 2+ stores and the contribution of the latter to astrocytic Ca 2+ activity is unclear. Here, we reconstruct hippocampal tripartite synapses in 3D from a high‐resolution electron microscopy (EM) dataset and find that 75% of PAPs contain some endoplasmic reticulum (ER), a major calcium store in astrocytes. The ER in PAPs displays strikingly diverse shapes and intracellular spatial distributions. To investigate the causal relationship between each of these geometrical properties and the spatiotemporal characteristics of Ca 2+ signals, we implemented an algorithm that generates 3D PAP meshes by altering the distribution of the ER independently from ER and cell shape. Reaction–diffusion simulations in these meshes reveal that astrocyte activity is governed by a complex interplay between the location of Ca 2+ channels, ER surface–volume ratio, and spatial distribution. In particular, our results suggest that ER‐PM contact sites can act as local signal amplifiers if equipped with IP 3 R clusters but attenuate PAP Ca 2+ activity in the absence of clustering. This study sheds new light on the ultrastructural basis of the diverse astrocytic Ca 2+ microdomain signals and on the mechanisms that regulate neuron‐astrocyte signal transmission at tripartite synapses.
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
Audrey Valverde, Hélène Blasco, Philippe Corcia, Olivier Herault, Pierre Magistretti, Laurent Herault, Corrado Cali’, Luca Bartesaghi, Jonathan Stone, John Mitrofanis
International Review of Neurobiology, 2026
Buried Treasure? Overlooked and Newly Discovered Evolutionary Contributions to Human Brain Diseases
Nico J. Diederich, Martin Brüne, John S. Allen, Nicole Bender, Emiliano Bruner, Jean‐Pierre Changeux, Corrado Cali, Olga Dolgova, Anne Grünewald, Geneviève Konopka, Peng Jin, Roger Lemon, Gilberto Levy, Pierre Magistretti, Markus J. Rantala, Kathleen S. Rockland, Roger Sullivan, Annie Swanepoel, Toshiki Uchihara, Katrin Amunts, Christopher G. Goetz
Annals of Neurology, 2025
Clinical neuroscience focuses on the mechanisms of brain function, but this approach falls short of insights into how the central nervous system (CNS) evolved, both in health and disease. Here, we discuss evolutionary concepts relevant to understanding human brain diseases, on the genetic, subcellular, cellular, connectomic, behavioral, and cultural levels. By revisiting common neurological diseases, we discuss evolved residues from our ancestors, mechanisms of exaptation, antagonistic pleiotropy, and human longevity with the consequent outpacing of biological evolution by cultural evolution. An evolution‐based conceptual framework can propel transdisciplinary research targeting the constraints imposed by and compensatory adaptations involved in human‐specific neurological diseases. ANN NEUROL 2025;98:1178–1195
Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis
Uzair Shah, Mahmood Alzubaidi, Marco Agus, Corrado Calí, Pierre J. Magistretti, Mowafa Househ
Computers and Graphics, 2025
<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. Following PRISMA guidelines, we identified 60 studies through structured database searches, with quantitative meta-analysis of 27 studies (46 experiments) across 10 datasets providing the first unified benchmark comparison in this domain. Our analysis reveals a field transitioning from traditional CNN approaches toward foundation models and hybrid architectures. The meta-analysis demonstrates that foundation models outperform traditional CNNs by 13%–35% across key metrics, with the 3D Transformer + U-Net achieving the highest composite score (0.954) across five datasets. Meta-analysis confirms significant advantages for foundation models in instance-based metrics (Cohen’s d =− 6 . 44 ), while only 26% of experiments validate across multiple datasets. Four key evolutionary trends emerge: (1) transition from 2D to 3D architectures optimized for ultrastructural complexity; (2) development of topology-preserving loss functions and evaluation metrics (clDice, ERL) that prioritize neural connectivity over pixel-wise accuracy; (3) emergence of self-supervised and foundation model adaptation techniques reducing annotation dependency; and (4) evolution toward specialized architectures capturing long-range dependencies critical for neural structures. Performance analysis reveals that mitochondria segmentation achieves highest accuracy (Jaccard scores 87.2–90.5%), while computational requirements vary from single-GPU implementations to distributed systems with 48 GPUs for teravoxel-scale volumes. Despite progress, reproducibility challenges persist with only 54% of studies providing public code repositories. These advances drive innovation in 3D computer vision, establish new benchmarks for volumetric instance segmentation, and address fundamental challenges in processing massive biological datasets. Our unified benchmarks and comprehensive analysis provide a foundation for systematic progress tracking and evidence-based method selection, positioning brain EM segmentation to enable large-scale connectomics studies and detailed neuroanatomical mapping across scales. <h2>Other Information</h2><p dir="ltr">Published in: Computers & Graphics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cag.2025.104391" target="_blank">https://dx.doi.org/10.1016/j.cag.2025.104391</a>
Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications
Zahoor Ahmad, Mahmood Alzubaidi, Khaled Al-Thelaya, Corrado Calí, Sabri Boughorbel, Jens Schneider, Marco Agus
Journal of Pathology Informatics, 2025
= 10)-are predominantly applied in cancer research (e.g., breast, colon, ovarian, and prostate cancers) and primarily utilize whole slide images. Key contributions include advanced image analysis capabilities (as demonstrated by platforms such as QuPath and CellProfiler) and the integration of machine learning for diagnostic support, treatment planning, automated tissue segmentation, and collaborative research. Despite these promising advancements, challenges such as high computational demands, limited external validation, and difficulties integrating into clinical workflows remain. Future research should focus on establishing standardized validation frameworks, aligning with regulatory requirements, and enhancing user-centric designs to promote robust, interoperable solutions for clinical adoption.
Tight Spaces, Tighter Signals: Spatial Constraints as Drivers of Peripheral Myelination
Luca Bartesaghi, Basilio Giangreco, Vanessa Chiappini, Maria Fernanda Veloz Castillo, Martina Monaco, Jean-Jaques Médard, Giovanna Gambarotta, Marco Agus, Corrado Calì
Cells, 2025
Peripheral myelination is driven by the intricate interplay between Schwann cells and axons, coordinated through molecular signaling and the structural organization of their shared environment. While the biochemical regulation of this process has been extensively studied, the influence of spatial architecture and mechanical cues remains poorly understood. Here, we use in vitro co-culture models—featuring microfluidic devices and hydrogel-based scaffolds—to explore how extracellular organization, cellular density, and spatial constraints shape Schwann cell behavior. Our results show that (i) pro-myelinating effects triggered by ascorbic acid administration is distally propagated along axons in Schwann cell-DRG co-cultures, (ii) ascorbic acid modulates Neuregulin-1 expression, (iii) a critical threshold of cellular density is required to support proper Schwann cell differentiation and myelin formation, and (iv) spatial confinement promotes myelination in the absence of ascorbic acid. Together, these findings highlight how spatial and structural parameters regulate the cellular and molecular events underlying peripheral myelination, offering new physiologically relevant models of myelination and opening new avenues for peripheral nerve repair strategies.
Validation Study on Iatrogenic Nerve Damage Reduction Using Augmented Reality on Elbow Phantom
Giacomo Riberi, Antonio Cangelosi, Paolo Titolo, Elisa Dutto, Massimo Salvi, Filippo Molinari, Luca Ulrich, Marco Agus, Corrado Calì
Mayo Clinic Proceedings Digital Health, 2025
Objective: To compare augmented reality (AR) and classical intraoperative C-arm surgical navigation and evaluate whether head-mounted display improves surgical accuracy in the placement of a rod-like object, such as K-wire, using an anatomically accurate elbow phantom. Participants and Methods: Data were collected between January 10, 2024, and March 15, 2024. We developed an AR system, X-ray simulation system and surgical phantom to test K-wire placement in 3 locations of the distal humerus and proximal ulnar bones. An initial phase with only X-ray as guidance was performed as case control; in later phases, the candidates were allowed to also use the head-mounted display. The evaluation parameters were time, placement angle, number of X-ray images taken, number of attempts, and distance from anatomical structures. Results: In total, 19 physicians participated in the study. We analyzed 193 K-wire placements attempts that resulted in 150 estimated correct positions. This reflects a real-world scenario where multiple placements might be attempted to correctly place a K-wire. Compared with standard procedure, the use of AR resulted in -53.8 seconds in K-wire placement time, -47% of angular error from the K-wire target, -80% X-ray images taken to reach the estimate correct position, and decrease in distance variability of -81%, of the K-wire from anatomical structures of interest. Conclusions: Compared with C-arm, AR navigation improved time, and angle of placement, requiring less X-ray images.
AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education
Uzair Shah, Marco Agus, Daniya Boges, Hamad Aldous, Vanessa Chiappini, Mahmood Alzubaidi, Markus Hadwiger, Pierre J. Magistretti, Mowafa Househ, Corrado Calí
Computers and Graphics, 2025
We introduce NeuroVerse, a framework for exploring 3D nanometric-scale reconstructions of neural and glial cellular processes in the central nervous system. Using image stacks from volume electron microscopy, NeuroVerse generates 3D mesh models through a SAM2-based segmentation pipeline and integrates absorption signals for deployment in a Metaverse environment. The framework includes a SAM2 adapter optimized for biological microscopy imaging, adapted with feature enhancement blocks and dual decoders to improve the segmentation of complex cellular structures. An interactive virtual AI agent, powered by Heygen and OpenAI models with domain-specific knowledge, provides semi-real-time assistance. NeuroVerse supports education and collaborative analysis for neuroanatomy and neuroscience. It includes a pipeline for the creation of 3D models, automated segmentation, mesh reconstruction, and heatmap computation, optimized for the Spatial.io ecosystem. Contributions include a virtual anatomy lab for neuroanatomy education and collaborative sessions on spatial morphology correlation and neuroenergetic absorption models. Evaluations show that the SAM2 adapter preserves fine cellular details and manages irregular boundaries. Preliminary sessions indicate potential to enhance neuroscience education, improve remote collaboration among scientists, and provide access to advanced neuroscientific data and tools. Evaluation of the virtual AI agent confirms its ability to provide context-aware support, interpret complex cellular structures, and facilitate understanding through semi-real-time assistance for students analyzing neural and glial reconstructions. NeuroVerse combines imaging, segmentation, and AI technologies within an immersive Metaverse platform for neuroscience education and research. • Development of digital twin of the Human Anatomy Institute of the University of Turin. • AI-Based pipeline for EM image segmentation and Data interpretation. • Case study for multiple usage for Data Analysis and Education in the Metaverse.
Augmented reality simulation framework for minimally invasive orthopedic surgery
Antonio Cangelosi, Giacomo Riberi, Paolo Titolo, Massimo Salvi, Filippo Molinari, Luca Ulrich, Enrico Vezzetti, Marco Agus, Corrado Calì
Computers in Biology and Medicine, 2025
PURPOSE: Minimally invasive surgery (MIS) has emerged in clinical practice to minimize surgical trauma, providing patients with faster recovery, reduced pain and complications and enhanced aesthetic results compared to traditional surgery. However, this approach increase the risk of iatrogenic damage, i.e. the accidental injury to sensitive anatomical structures (eg. nerves and vascular strcuteres) not directly visible during a percutaneous access. Augmented reality (AR) can effectively mitigate these drawbacks by overlaying graphical information onto the surgical field and providing real-time feedback, offering support in training settings and clinical practice. Implementation challenges have limited the number of case studies in the scientific literature. This study presents a novel simulation paradigm for orthopedic surgery training, filling a gap in surgical skill development resources for trainees, and demonstrating the effectiveness of this approach. METHODS: The proposed methodology provides a framework for building a cost-effective and easily reproducible surgical training simulation environment. To address the challenge of mental spatial navigation during MIS procedures, the framework's rationale is to address the challenge of mental spatial navigation during MIS procedures. A surgical gesture tracking system using a commercial depth camera for comfortable simulation was developed. The principles of the acquisition system, image processing, and spatial computation mechanics are detailed to illustrate the framework's applicability. Digital environments customization with game engines to simulate expensive medical instrumentation, such as the C-arm, is also demonstrated. The simulation platform comprises a Computer Vision (CV) module, an X-ray machine simulation module, and an AR module. RESULTS: System validation involved analysis at different framework levels. From texture analysis of acquired images to application accuracy evaluation, the influence of various parameters on system performance is demonstrated. The simulation system is a valuable tool for learning minimally invasive procedures and for developers building AR systems for medical applications. The implementation is focused on the insertion surgical devices, including screws and K-wires. This is results in real application in minimizing the risk of iatrogenic injury to neural and vascular structures. To demonstrate the effectiveness of highly reproducible accuracy between real and virtual environment an analysis of errors and accuracies is illustrated at level of different subsystems. Measurement between comparative measurement between vernier caliper and simulation system methods shows a R>0.9 with a p<0.01. Application accuracy was evaluated using the following parameters. The relative point-to-point accuracy averaged 1.02mm with a standard deviation of 2.82mm. Future development includes clinical implementation and integration of advanced AI technologies.
Editorial: Advances in volume electron microscopy for brain imaging: methods, applications, and affordability
Corrado Calì, Xueying Wang
Frontiers in Neuroscience, 2025
NeuroShape: exploiting neural architectures for shape analysis of ultrastructural 3D neuroscience morphologies
Shaffique, Humaira, Shah, Uzair, Alzubaidi, Mahmood, Schneider, Jens, Magistretti, Pierre Julius, et al.
Eurographics Italian Chapter Proceedings Smart Tools and Applications in Graphics Stag, 2025
SAM4EM: Efficient Memory-Based Two Stage Prompt-Free Segment Anything Model Adapter for Complex 3D Neuroscience Electron Microscopy Stacks
Uzair Shah, Marco Agus, Daniya Boges, Vanessa Chiappini, Mahmood Alzubaidi, Jens Schneider, Markus Hadwiger, Pierre J. Magistretti, Mowafa Househ, Corrado Calí
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2025
NeuroVerse: Immersive exploration of 3D ultrastructural brain reconstructions for education and collaborative analysis
Corrado Cali, Marco Agus
Proceedings Web3d 2024 29th International ACM Conference on 3D Web Technology, 2024
Metabolic Reprogramming of Astrocytes in Pathological Conditions: Implications for Neurodegenerative Diseases
Corrado Calì, Iva Cantando, Maria Fernanda Veloz Castillo, Laurine Gonzalez, Paola Bezzi
International Journal of Molecular Sciences, 2024
Regulated exocytosis from astrocytes: a matter of vesicles?
Corrado Calì
Frontiers in Neuroscience, 2024
Astrocyte structural heterogeneity in the mouse hippocampus
João Filipe Viana, João Luís Machado, Daniela Sofia Abreu, Alexandra Veiga, Sara Barsanti, Gabriela Tavares, Manuella Martins, Vanessa Morais Sardinha, Sónia Guerra‐Gomes, Cátia Domingos, Alberto Pauletti, Jérôme Wahis, Chen Liu, Corrado Calì, Christian Henneberger, Matthew G. Holt, João Filipe Oliveira
GLIA, 2023
Disruption of Astrocyte-Dependent Dopamine Control in the Developing Medial Prefrontal Cortex Leads to Excessive Grooming in Mice
Francesco Petrelli, Tamara Zehnder, Anthony Laugeray, Sarah Mondoloni, Corrado Calì, Luca Pucci, Alicia Molinero Perez, Bianca Maria Bondiolotti, Eva De Oliveira Figueiredo, Glenn Dallerac, Nicole Déglon, Bruno Giros, Lorenzo Magrassi, Jean-Pierre Mothet, Manuel Mameli, Linda D. Simmler, Paola Bezzi
Biological Psychiatry, 2023
Mixed Reality for Orthopedic Elbow Surgery Training and Operating Room Applications: A Preliminary Analysis
Cangelosi, Antonio, Riberi, Giacomo, Salvi, Massimo, Molinari, Filippo, Titolo, Paolo, et al.
Eurographics Italian Chapter Proceedings Smart Tools and Applications in Graphics Stag, 2023
A Gaze Detection System for Neuropsychiatric Disorders Remote Diagnosis Support
Cangelosi, Antonio, Antola, Gabriele, Iacono, Alberto Lo, Santamaria, Alfonso, Clerico, Marinella, et al.
Eurographics Italian Chapter Proceedings Smart Tools and Applications in Graphics Stag, 2023
Early introduction of simulation in the medical curriculum: the MedInTo perspective
David Lembo, Federico Abate Daga, Corrado Calì, Diego Garbossa, Matteo Manfredi, Lorenzo Odetto, Luca Ostacoli, Piero Paccotti, Stefania Raimondo, Giuseppe Reimondo, Savino Sciascia
Frontiers in Medicine, 2023
Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience
Marwan Abdellah, Juan José García Cantero, Nadir Román Guerrero, Alessandro Foni, Jay S Coggan, Corrado Calì, Marco Agus, Eleftherios Zisis, Daniel Keller, Markus Hadwiger, Pierre J Magistretti, Henry Markram, Felix Schürmann
Briefings in Bioinformatics, 2023
Emerging evidence for astrocyte dysfunction in schizophrenia
Eva Cristina de Oliveira Figueiredo, Corrado Calì, Francesco Petrelli, Paola Bezzi
GLIA, 2022
The use of the Anatomage Table for improving forensic odontology education and training
Corrado Calì, Emilio Nuzzolese
Annals of 3D Printed Medicine, 2022
Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures
Jakob Troidl, Corrado Cali, Eduard Gröller, Hanspeter Pfister, Markus Hadwiger, Johanna Beyer
Computer Graphics Forum, 2022
Volume Puzzle: visual analysis of segmented volume data with multivariate attributes
M. Agus, A. Aboulhassan, K. Al Thelaya, G. Pintore, E. Gobbetti, C. Cali, J. Schneider
Proceedings 2022 IEEE Visualization Conference Short Papers Vis 2022, 2022
Stochastic Spatially-Extended Simulations Predict the Effect of ER Distribution on Astrocytic Microdomain Ca2+ Activity
Audrey Denizot, Corrado Calì, Hugues Berry, Erik De Schutter
Proceedings of the 8th ACM International Conference on Nanoscale Computing and Communication Nanocom 2021, 2021
InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification
Khaled Al-Thelaya, Marco Agus, Nauman Ullah Gilal, Yin Yang, Giovanni Pintore, Enrico Gobbetti, Corrado Calí, Pierre J. Magistretti, William Mifsud, Jens Schneider
Computers and Graphics Pergamon, 2021
Augmented Reality in Medical Practice: From Spine Surgery to Remote Assistance
Fabio Cofano, Giuseppe Di Perna, Marco Bozzaro, Alessandro Longo, Nicola Marengo, Francesco Zenga, Nicola Zullo, Matteo Cavalieri, Luca Damiani, Daniya J. Boges, Marco Agus, Diego Garbossa, Corrado Calì
Frontiers in Surgery, 2021
L-lactate: Food for thoughts, memory and behavior
María Fernanda Veloz Castillo, Pierre J. Magistretti, Corrado Calì
Metabolites, 2021
Digital reconstruction of the neuro-glia-vascular architecture
Eleftherios Zisis, Daniel Keller, Lida Kanari, Alexis Arnaudon, Michael Gevaert, Thomas Delemontex, Benoît Coste, Alessandro Foni, Marwan Abdellah, Corrado Calì, Kathryn Hess, Pierre Julius Magistretti, Felix Schürmann, Henry Markram
Cerebral Cortex, 2021
Virtual reality framework for editing and exploring medial axis representations of nanometric scale neural structures
Daniya Boges, Marco Agus, Ronell Sicat, Pierre J. Magistretti, Markus Hadwiger, Corrado Calì
Computers and Graphics Pergamon, 2020
WISH: Efficient 3D biological shape classification through Willmore flow and Spherical Harmonics decomposition
Marco Agus, Enrico Gobbetti, Giovanni Pintore, Corrado Cali, Jens Schneider
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2020
Ultrastructural Evidence for a Role of Astrocytes and Glycogen-Derived Lactate in Learning-Dependent Synaptic Stabilization
E Vezzoli, C Calì, M De Roo, L Ponzoni, E Sogne, N Gagnon, M Francolini, D Braida, M Sala, D Muller, A Falqui, P J Magistretti
Cerebral Cortex, 2020
Dysfunction of homeostatic control of dopamine by astrocytes in the developing prefrontal cortex leads to cognitive impairments
Francesco Petrelli, Glenn Dallérac, Luca Pucci, Corrado Calì, Tamara Zehnder, Sébastien Sultan, Salvatore Lecca, Andrea Chicca, Andrei Ivanov, Cédric S. Asensio, Vidar Gundersen, Nicolas Toni, Graham William Knott, Fulvio Magara, Jürg Gertsch, Frank Kirchhoff, Nicole Déglon, Bruno Giros, Robert H. Edwards, Jean-Pierre Mothet, Paola Bezzi
Molecular Psychiatry, 2020
Forget About Electron Micrographs: A Novel Guide for Using 3D Models for Quantitative Analysis of Dense Reconstructions
Daniya J. Boges, Marco Agus, Pierre Julius Magistretti, Corrado Calì
Neuromethods, 2020
InShaDe: Invariant Shape Descriptors for visual analysis of histology 2D cellular and nuclear shapes
Marco Agus, Khaled Al-Thelaya, Corrado Calì, Marina Boido, Yin Yang, et al.
Eurographics Workshop on Visual Computing for Biomedicine, 2020
3D cellular reconstruction of cortical glia and parenchymal morphometric analysis from Serial Block-Face Electron Microscopy of juvenile rat
Corrado Calì, Marco Agus, Kalpana Kare, Daniya J. Boges, Heikki Lehväslaiho, Markus Hadwiger, Pierre J. Magistretti
Progress in Neurobiology, 2019
Virtual environment for processing medial axis representations of 3D nanoscale reconstructions of brain cellular structures
Daniya Boges, Corrado Cali', Pierre J. Magistretti, Markus Hadwiger, Ronell Sicat, Marco Agus
Proceedings of the ACM Symposium on Virtual Reality Software and Technology VRST, 2019
Shape analysis of 3D nanoscale reconstructions of brain cell nuclear envelopes by implicit and explicit parametric representations
Marco Agus, Maria Veloz Castillo, Javier F. Garnica Molina, Enrico Gobbetti, Heikki Lehväslaiho, Alex Morales Tapia, Pierre J. Magistretti, Markus Hadwiger, Corrado Calí
Computers and Graphics X, 2019
The strategic location of glycogen and lactate: From body energy reserve to brain plasticity
Corrado Calì, Arnaud Tauffenberger, Pierre Magistretti
Frontiers in Cellular Neuroscience, 2019
Immersive environment for creating, proofreading, and exploring skeletons of nanometric scale neural structures
Daniya Boges, Corrado Calì, Pierre J. Magistretti, Markus Hadwiger, Ronell Sicat, et al.
Italian Chapter Conference 2019 Smart Tools and Apps in Computer Graphics Stag 2019, 2019
Interactive volumetric visual analysis of glycogen-derived energy absorption in nanometric brain structures
M. Agus, C. Calì, A. Al‐Awami, E. Gobbetti, P. Magistretti, M. Hadwiger
Computer Graphics Forum, 2019
A method for 3D reconstruction and virtual reality analysis of glial and neuronal cells
Corrado Calì, Kalpana Kare, Marco Agus, Maria Fernanda Veloz Castillo, Daniya Boges, Markus Hadwiger, Pierre Magistretti
Journal of Visualized Experiments, 2019
GLAM: Glycogen-derived Lactate Absorption Map for visual analysis of dense and sparse surface reconstructions of rodent brain structures on desktop systems and virtual environments
Marco Agus, Daniya Boges, Nicolas Gagnon, Pierre J. Magistretti, Markus Hadwiger, Corrado Calí
Computers and Graphics Pergamon, 2018
The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1
Corrado Calì, Marta Wawrzyniak, Carlos Becker, Bohumil Maco, Marco Cantoni, Anne Jorstad, Biagio Nigro, Federico Grillo, Vincenzo De Paola, Pascal Fua, Graham William Knott
Plos One, 2018
Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate
Jay S. Coggan, Daniel Keller, Corrado Calì, Heikki Lehväslaiho, Henry Markram, Felix Schürmann, Pierre J. Magistretti
Plos Computational Biology, 2018
Hyperquadrics for shape analysis of 3D nanoscale reconstructions of brain cell nuclear envelopes
Marco Agus, Corrado Calì, Andrea Morales, Heikki Lehväslaiho, Pierre J. Magistretti, et al.
Italian Chapter Conference 2018 Smart Tools and Apps in Computer Graphics Stag 2018, 2018
Abstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cells
Haneen Mohammed, Ali K. Al-Awami, Johanna Beyer, Corrado Cali, Pierre Magistretti, Hanspeter Pfister, Markus Hadwiger
IEEE Transactions on Visualization and Computer Graphics, 2018
A process for digitizing and simulating biologically realistic oligocellular networks demonstrated for the neuro-Glio-Vascular ensemble
Jay S. Coggan, Corrado Calì, Daniel Keller, Marco Agus, Daniya Boges, Marwan Abdellah, Kalpana Kare, Heikki Lehväslaiho, Stefan Eilemann, Renaud Blaise Jolivet, Markus Hadwiger, Henry Markram, Felix Schürmann, Pierre J. Magistretti
Frontiers in Neuroscience, 2018
Spatially-resolved in-situ quantification of biofouling using optical coherence tomography (OCT) and 3D image analysis in a spacer filled channel
Luca Fortunato, Szilárd Bucs, Rodrigo Valladares Linares, Corrado Cali, Johannes S. Vrouwenvelder, TorOve Leiknes
Journal of Membrane Science, 2017
Visual analysis of glycogen derived lactate absorption in dense and sparse surface reconstructions of rodent brain structures
Corrado Calì, Marco Agus, Nicholas Gagnon, Markus Hadwiger, Pierre J. Magistretti
Italian Chapter Conference 2017 Smart Tools and Apps in Computer Graphics Stag 2017, 2017
Adding large em stack support
Glendon Holst, Stuart Berg, Kalpana Kare, Pierre Magistretti, Corrado Cali
2016 4th Saudi International Conference on Information Technology Big Data Analysis Kacstit 2016, 2016
To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery
Joshua T. Vogelstein, Brett Mensh, Michael Häusser, Nelson Spruston, Alan C. Evans, Konrad Kording, Katrin Amunts, Christoph Ebell, Jeff Muller, Martin Telefont, Sean Hill, Sandhya P. Koushika, Corrado Calì, Pedro Antonio Valdés-Sosa, Peter B. Littlewood, Christof Koch, Stephan Saalfeld, Adam Kepecs, Hanchuan Peng, Yaroslav O. Halchenko, Gregory Kiar, Mu-Ming Poo, Jean-Baptiste Poline, Michael P. Milham, Alyssa Picchini Schaffer, Rafi Gidron, Hideyuki Okano, Vince D. Calhoun, Miyoung Chun, Dean M. Kleissas, R. Jacob Vogelstein, Eric Perlman, Randal Burns, Richard Huganir, Michael I. Miller
Neuron, 2016
Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues
Corrado Calì, Jumana Baghabra, Daniya J. Boges, Glendon R. Holst, Anna Kreshuk, Fred A. Hamprecht, Madhusudhanan Srinivasan, Heikki Lehväslaiho, Pierre J. Magistretti
Journal of Comparative Neurology, 2016
NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks
Anne Jorstad, Biagio Nigro, Corrado Cali, Marta Wawrzyniak, Pascal Fua, Graham Knott
Neuroinformatics, 2015
G-protein coupled receptor-evoked glutamate exocytosis from astrocytes: Role of prostaglandins
Corrado Cali, Jan Lopatar, Francesco Petrelli, Luca Pucci, Paola Bezzi
Neural Plasticity, 2014
Gliotransmission and the tripartite synapse
Mirko Santello, Corrado Calì, Paola Bezzi
Advances in Experimental Medicine and Biology, 2012
CXCR4-mediated glutamate exocytosis from astrocytes
Corrado Calì, Paola Bezzi
Journal of Neuroimmunology, 2010
Chemokines as neuromodulators: Regulation of glutamatergic transmission by cxcr4-mediated glutamate release from astrocytes
Corrado Calì, Julie Marchaland, Osvaldo Mirante, Paola Bezzi
Chemokine Receptors and Neuroaids Beyond Co Receptor Function and Links to Other Neuropathologies, 2010
Chapter 20 Regulated Exocytosis from Astrocytes. Physiological and Pathological Related Aspects
Corrado Calì, Julie Marchaland, Paola Spagnuolo, Julien Gremion, Paola Bezzi
International Review of Neurobiology, 2009
Fast subplasma membrane Ca2+ transients control exo-endocytosis of synaptic-like microvesicles in astrocytes
Julie Marchaland, Corrado Calì, Susan M. Voglmaier, Haiyan Li, Romano Regazzi, Robert H. Edwards, Paola Bezzi
Journal of Neuroscience, 2008
SDF 1-alpha (CXCL12) triggers glutamate exocytosis from astrocytes on a millisecond time scale: Imaging analysis at the single-vesicle level with TIRF microscopy
Corrado Calì, Julie Marchaland, Romano Regazzi, Paola Bezzi
Journal of Neuroimmunology, 2008
Inferring connection proximity in networks of electrically coupled cells by subthreshold frequency response analysis
Corrado Calì, Thomas K. Berger, Michele Pignatelli, Alan Carleton, Henry Markram, Michele Giugliano
Journal of Computational Neuroscience, 2008

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