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Institution

Istituto Italiano di Tecnologia

FacilityGenoa, Italy
About: Istituto Italiano di Tecnologia is a facility organization based out in Genoa, Italy. It is known for research contribution in the topics: Humanoid robot & Robot. The organization has 4561 authors who have published 14595 publications receiving 437558 citations. The organization is also known as: Italian Institute of Technology & IIT.
Topics: Humanoid robot, Robot, Graphene, iCub, Population


Papers
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Journal ArticleDOI
06 Oct 2010-ACS Nano
TL;DR: An absolutely innovative technique for the electrical stimulation of cells, based on piezoelectric nanoparticles, is proposed, which exhibits neurite sprout 30% greater than the control cultures after 9 days of treatment.
Abstract: In this paper, we propose an absolutely innovative technique for the electrical stimulation of cells, based on piezoelectric nanoparticles. Ultrasounds are used to impart mechanical stress to boron nitride nanotubes incubated with neuronal-like PC12 cells. By virtue of their piezoelectric properties, these nanotubes can polarize and convey electrical stimuli to the cells. PC12 stimulated with the present method exhibit neurite sprout 30% greater than the control cultures after 9 days of treatment.

193 citations

Journal ArticleDOI
TL;DR: The first international workshop on Present and future of non-invasive peripheral nervous system (PNS)–Machine Interfaces (MI) was convened, hosted by the International Conference on Rehabilitation Robotics, with an overview of the state of the art and future perspectives of such interfaces.
Abstract: One of the hottest topics in rehabilitation robotics is that of proper control of prosthetic devices. Despite decades of research, the state of the art is dramatically behind the expectations. To shed light on this issue, in June, 2013 the first international workshop on Present and future of non-invasive PNS-Machine Interfaces was convened, hosted by the International Conference on Rehabilitation Robotics. The keyword PNS-Machine Interface (PMI) has been selected to denote human-machine interfaces targeted at the limb-deficient, mainly upper-limb amputees, dealing with signals gathered from the peripheral nervous system (PNS) in a non-invasive way, that is, from the surface of the residuum. The workshop was intended to provide an overview of the state of the art and future perspectives of such interfaces; this paper represents is a collection of opinions expressed by each and every researcher/group involved in it.

193 citations

Journal ArticleDOI
04 Aug 2009-PLOS ONE
TL;DR: Transfer Entropy and Joint-Entropy showed the best results suggesting those methods as good candidates to extract functional links in actual neuronal networks from multi-site recordings.
Abstract: Functional connectivity of in vitro neuronal networks was estimated by applying different statistical algorithms on data collected by Micro-Electrode Arrays (MEAs). First we tested these “connectivity methods” on neuronal network models at an increasing level of complexity and evaluated the performance in terms of ROC (Receiver Operating Characteristic) and PPC (Positive Precision Curve), a new defined complementary method specifically developed for functional links identification. Then, the algorithms better estimated the actual connectivity of the network models, were used to extract functional connectivity from cultured cortical networks coupled to MEAs. Among the proposed approaches, Transfer Entropy and Joint-Entropy showed the best results suggesting those methods as good candidates to extract functional links in actual neuronal networks from multi-site recordings.

192 citations

Journal ArticleDOI
21 Apr 2014-ACS Nano
TL;DR: Insight is provided into dynamic interactions between nanoparticles and tumor components under physical stimulation and suggests that nanoparticle-mediated hyperthermia could be used to locally modify tumor stroma and thus improve drug penetration.
Abstract: Several studies propose nanoparticles for tumor treatment, yet little is known about the fate of nanoparticles and intimate interactions with the heterogeneous and ever-evolving tumor environment. The latter, rich in extracellular matrix, is responsible for poor penetration of therapeutics and represents a paramount issue in cancer therapy. Hence new strategies start aiming to modulate the neoplastic stroma. From this perspective, we assessed the efficacy of 19 nm PEG-coated iron oxide nanocubes with optimized magnetic properties to mediate mild tumor magnetic hyperthermia treatment. After injection of a low dose of nanocubes (700 μg of iron) into epidermoid carcinoma xenografts in mice, we monitored the effect of heating nanocubes on tumor environment. In comparison with the long-term fate after intravenous administration, we investigated spatiotemporal patterns of nanocube distribution, evaluated the evolution of cubes magnetic properties, and examined nanoparticle clearance and degradation processes. W...

192 citations

Journal ArticleDOI
16 Apr 2014-ACS Nano
TL;DR: The comparison of experimental data and finite-difference time-domain simulations reveals a nonperfect filling of the gaps with sizes below 10 nm, which means that morphological information on the nanoscale is obtained additionally to chemical information.
Abstract: We report on the near-field coupling of individual gold nanoantennas arranged in tip-to-tip dimer configuration, leading to strong electromagnetic field enhancements in the infrared, which is of great interest for sensing applications such as surface-enhanced infrared spectroscopy. We quantitatively evaluated the enhancement of vibrational excitations of a 5 nm thick test layer of 4,4′-bis(N-carbazolyl)-1,1′-biphenyl as a function of different gap sizes. The dimers with the smallest gaps under investigation (∼3 nm) lead to more than 1 order of magnitude higher signal enhancement with respect to gaps of 50 nm width. The comparison of experimental data and finite-difference time-domain simulations reveals a nonperfect filling of the gaps with sizes below 10 nm, which means that morphological information on the nanoscale is obtained additionally to chemical information.

192 citations


Authors

Showing all 4601 results

NameH-indexPapersCitations
Marc G. Caron17367499802
Paolo Vineis134108886608
Michele Parrinello13363794674
Alex J. Barker132127384746
Tomaso Poggio13260888676
Shuai Liu129109580823
Giacomo Rizzolatti11729897242
Yehezkel Ben-Ari11045944293
Daniele Piomelli10450549009
Bruno Scrosati10358066572
Wolfgang J. Parak10246943307
Liberato Manna9849444780
Muhammad Imran94305351728
Ole Isacson9334530460
Luigi Ambrosio9376139688
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202313
2022109
20211,576
20201,618
20191,439
20181,381