Martedì, 16:00 - 17:00
Legenda
Michele Sorelli received his master’s degree in Biomedical Engineering from UniFI in 2015, with a final thesis on image processing techniques for monitoring the microvascular functionality in critical care scenarios, developed at the Erasmus Medical Center in Rotterdam.In 2018, he completed a PhD at UniFI where he investigated advanced methods for the noninvasive diagnosis of microcirculatory alterations.Since 2019, he has been working as post-doctoral researcher at the European Laboratory for Non-linear Spectroscopy (LENS) within the biophysics group led by Prof. Francesco Pavone. His current research activities mainly focus on the realization of ultra-fast control systems for the in-vivo optogenetic manipulation of neuronal circuit dynamics, the implementation of machine-learning based image processing pipelines for quantitative volumetric microscopy and, furthermore, the development of virtual reality systems for the investigation of visually evoked neuronal activity patterns and behaviors in zebrafish larvae.
RESEARCH EXPERIENCE
Dates (from – to)
September 2019 –
present:
Post-doctoral researcher at the European Laboratory for Non-linear Spectroscopy (LENS) and the Department of Physics and Astronomy of the University of Florence
Acquisition of fluorescence microscopy image reconstructions of brain tissue samples.
Design and development of an image processing pipeline for quantitative analysis of the brain structural connectivity from volumetric fluorescence microscopy images.
3D fiber orientation analysis from two-photon laser scanning fluorescence microscopy images.
Machine learning-based neuronal cell image enhancement and detection from light-sheet fluorescence microscopy images.
Design and implementation of an ultra-fast control system for the 3D multi-site random access photostimulation of neuronal circuit dynamics using acousto-optic deflectors.
Development of a virtual reality for the investigation of visually-evoked neuronal activity patterns and behaviors in zebrafish larvae.
December 2018 -
August 2019:
Research fellow at the Department of Information Engineering of the University of Florence
Acquisition of Laser Doppler Flowmetry signals of cutaneous blood perfusion from diabetic patients.
Linear and non-linear directed connectivity analysis of the cardio-respiratory system in type 1 diabetes.
Statistical analysis of experimental data.
February 2015 -
September 2015:
Research assistant at the Department of Intensive Care of the Erasmus University Medical Center in Rotterdam (Rotterdam, NL)
Acquisition of microvascular perfusion images using Laser Speckle Contrast Imaging systems and handheld incident dark field video microscopes.
Microvascular bioimage processing and quantitative analysis.
EDUCATION AND TRAINING
November 2015 -
April 2019:
Doctor of Philosophy in Information Engineering at the University of Florence
Title: "Quantitative analysis of microvascular oscillations and their alterations"
Tutor: Prof. Leonardo Bocchi
December 2011-
April 2015:
Master’s Degree in Biomedical Engineering
at the University of Florence
Title: "Automated methods for the assessment of microcirculatory perfusion and density"
Tutors: Prof. Leonardo Bocchi, Prof. Dr. Can Ince, Ing. Maurizio Baroni
Grade: 110/110 cum laude
September 2014 -
Erasmus+ Traineeship Programme at the Department of Intensive Care of the Erasmus University Medical Center in Rotterdam (Rotterdam, NL)
Comparative study of state-of-the-art software tools for the automatic noninvasive analysis of the microcirculation in critical care scenarios.
Implementation of computer vision algorithms for the automatic estimation of capillary flow velocities in videos acquired using the handheld CytoCam incident dark field microscope (Braedius Medical, NL).
February 2012 -
July 2012:
Erasmus Study Programme at the Technische Universiteit Delft (Delft, NL)
Courses and exams: Bio-inspired design, Biomaterials, Biomaterials mini-research project, Medical Imaging, Medical Instruments.
September 2008 - December 2011:
Bachelor’s Degree in Electronics and
Telecommunications Engineering
Title: "Deterministic chaos: bioengineering applications"
Tutor: Prof. Claudia Manfredi
Grade: 110/110 cum laude (with spetial mention for the academic curriculum)
RESEARCH ACTIVITIES
Research sectors
Biomedical Image and Signal Processing, Brain Functional and Structural Connectivity, Fluorescence Microscopy, Machine Learning, Network Physiology, Optogenetics
Projects funded in the last 5 years
Role
Funding body
3D Autonomous 2-PhoTon Optogenetics MICroscopy
Team member
European Research Council
Human Brain Optical Mapping
Fondazione Cassa di Risparmio di Firenze
Human Brain Project (SGA2)
Human Brain Project (SGA3)
EU Horizon 2020
3D Random Access 2-Photon Optogenetics
Modelling of microvascular alterations
Contrast Enhanced Ultrasound Echo and Hand-Held Vital Microscopy for bedside imaging of early microcirculatory alterations associated with the development of acute kidney injury: a validation study
Team Member
Dutch Kidney Foundation