Sergio Martinoia

Professore Ordinario

Telefono ufficio (+39) 01033 - 52980
Cellulare +393481308491
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 Sergio Martinoia (SM) is head of department and professor of Bioengineering. He teaches courses on Bioelectronics, Neuroengineering and Neurotechnologies, offered to students of the biomedical engineering curricula.  He has participated to several national and international project in the field of bioengineering and neuroengineering starting from the European FP5 including coordination of projects in FP5 and FP7. More recently, his Lab has been the academic partner of three funded projects in the framewo... read more


1.      Spanu, A., Colistra, N., Farisello, P., Friz, A., Arellano N., Rettner, C.T., Bonfiglio, A., Bozano, L., Martinoia, S., A Three-Dimensional Micro-Electrode Array for in-vitro neuronal interfacing, J. Neural Eng.,in press (2020).

2.          Pastore, V.P., Massobrio, P., Godjoski, A., Martinoia, S, Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings, PLoS Computational Biology, 14 (8), art. no. e1006381, (2018).

3.          Tedesco M.T., Di Lisa D., Massobrio P., Colistra N., Pesce M., Catelani T., Dellacasa E., Raiteri R., Martinoia S., Pastorino L., Soft chitosan microbeads scaffold for 3D functional neuronal networks, Biomaterials, 156, pp. 159-171, (2018).

4.          Rojas C., Tedesco M.T., Massobrio P., Marino A., Ciofani G., Martinoia S., and Raiteri R., Acoustic stimulation can induce a selectiveneural network response mediated by piezoelectric nanoparticles, J. Neural Eng., 15 (2018).

5.          Poli D., Pastore V.P., Martinoia S., and Massobrio P., From functional to structural connectivity using partial correlation in neuronal assemblies, J. Neural Eng., 13, doi:10.1088/1741-2560/13/2/026023, (2016).

6.          Massobrio P., Pasquale V., and Martinoia S., Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks, Scientific Report, 5, 10578, doi:10.1038/srep10578 (2015).

7.          Spanu A., Lai S., Cosseddu P., Tedesco M., Martinoia S., Bonfiglio A., An organic transistor-based system for reference-less electrophysiological monitoring of excitable cells, Scientific Reports 5, 8807, doi:10.1038/srep08807, (2015).

Research activity

The research activities of Sergio Martinoia (SM) are focused in the fields of Bioelectronics and Neurotechnologies. These are multi-disciplinary fields with relevance in the context of biomedical engineering research, biotechnologies and neuroscience for future clinical applications.

Since his PhD studies (early ’90), he was involved in developing innovative tools and technologies for neural interfaces for in-vitro applications. He contributed to the diffusion of these systems, developing new devices (during repeated periods at Stanford University) and collaborating with recognized leading centers (Institute of Microtechnology, University of Neuchatel). Since many years, SM is one of the leading expert in the field of modeling of neuro-electronic interface and solid-state device for chemical and bio-sensing. Broadening his interests and by exploiting the capabilities of MEA based microsystems, SM was very active in the field of network electrophysiology contributing with relevant studies to the characterization of the dynamics of neuronal populations. In recent years, he developed in his Lab a new experimental model constituted by 3-dimensional network chronically coupled to 3D scaffolds and MEA devices. During the last 10-12 years, he also developed and validated in cooperation with a company an in-vitro platform for a neurotoxicity method alternative and complementary to animal experiments. In the last few years, he also established a collaboration with the IBM research lab at Almaden (S.José, CA, USA), for developing technologies for 3D MEAs to be coupled to engineered 3D cultures. Finally, SM was one of the pioneer in developing hybrid systems encompassing biological neuronal networks coupled (through micro-transducer arrays) to artificial devices.



Bioelectronics, Neurotechnologies, neuro-electronic interface, micro-nano systems and biosensors, computational neuroscience, electrophysiology, microtransducer array for electrochemical measurements, biological neuronal netowrks, hybrid-systems, brain-on-a-chip.

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