A5062989429- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Analytical Chemistry and Sensors
- Analytical Chemistry and Chromatography
- Olfactory and Sensory Function Studies
- Insect Pheromone Research and Control
- Cell Image Analysis Techniques
- 3D Printing in Biomedical Research
- Biochemical Analysis and Sensing Techniques
- Innovative Microfluidic and Catalytic Techniques Innovation
- Spectroscopy and Chemometric Analyses
- Microfluidic and Bio-sensing Technologies
- Image Processing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Advanced Memory and Neural Computing
- Neurobiology and Insect Physiology Research
- Sensor Technology and Measurement Systems
- Emotion and Mood Recognition
- Porphyrin and Phthalocyanine Chemistry
- Neuroscience and Neural Engineering
- Advanced Sensor and Energy Harvesting Materials
- Single-cell and spatial transcriptomics
- AI in cancer detection
- Mechanical and Optical Resonators
- Molecular Sensors and Ion Detection
University of Rome Tor Vergata
2016-2025
Engineering (Italy)
2018-2020
Weatherford College
2012
Institute of Acoustics and Sensors "Orso Mario Corbino"
2011
University of Salento
2011
Linköping University
2009
Politecnico di Milano
2009
Università Campus Bio-Medico
2009
Sapienza University of Rome
2007-2009
Istituto Centrale per la Ricerca Scientifica e Tecnologica Applicata al Mare
2009
Immunotherapy efficacy relies on the crosstalk within tumor microenvironment between cancer and dendritic cells (DCs) resulting in induction of a potent effective antitumor response. DCs have specific role recognizing cells, taking up antigens (Ags) then migrating to lymph nodes for Ag (cross)-presentation naïve T cells. Interferon-α-conditioned (IFN-DCs) exhibit marked phagocytic activity special ability inducing Ag-specific T-cell Here, we developed novel microfluidic platform recreating...
A major challenge in cancer research is the complexity of tumor microenvironment, which includes host immunological setting. Inspired by emerging technology organ-on-chip, we achieved 3D co-cultures microfluidic devices (integrating four cell populations: cancer, immune, endothelial, and fibroblasts) to reconstitute ex vivo a human ecosystem (HER2+ breast cancer). We visualized quantified complex dynamics this tumor-on-chip, absence or presence drug trastuzumab (Herceptin), targeted antibody...
Layered double hydroxides (LDHs) are an emergent class of biocompatible inorganic lamellar nanomaterials that have attracted significant research interest owing to their high surface-to-volume ratio, the capability accumulate specific molecules, and timely release targets. Their unique properties been employed for applications in organic catalysis, photocatalysis, sensors, drug delivery, cell biology. Given widespread contemporary these topics, time-to-time it urges review recent progresses....
Abstract Results collected in more than 20 years of studies suggest a relationship between the volatile organic compounds exhaled breath and lung cancer. However, origin these is still not completely elucidated. In spite simplistic vision that cancerous tissues lungs directly emit metabolites into airways, some papers point out are by blood then exchanged at air-blood interface lung. To shed light on this subject we performed an experiment collecting both air inside with modified...
Organ-on-chip (OOC) devices are miniaturized replacing animal models in drug discovery and toxicology studies. The majority of OOC made from polydimethylsiloxane (PDMS), an elastomer widely used microfluidic prototyping, but posing a number challenges to experimentalists, including leaching uncured oligomers uncontrolled absorption small compounds. Here we assess the suitability polylactic acid (PLA) as replacement material PDMS for cell culture applications. We changed wettability PLA...
Laser-induced graphene (LIG) has emerged as a highly versatile material with significant potential in the development of electrochemical sensors. In this paper, we investigate use LIG and functionalized ZnO porphyrins-ZnO gate electrodes extended field effect transistors (EGFETs). The resultant sensors exhibit remarkable sensitivity selectivity, particularly toward ascorbic acid. intrinsic undergoes notable enhancement through incorporation hybrid organic–inorganic materials. Among...
The advent of 3D bioprinting has revolutionised tissue engineering and regenerative medicine (TERM). Today, tissues single cell type can be printed with extreme resolution printing fidelity. However, the ultimate functionality desired is limited, due to absence a multicellular population diversity in micro-environment distribution. Currently, technologies are facing challenges delivering multiple cells biomaterials controlled fashion. use interchangeable syringe-based systems often favoured...
The relationship between diseases and alterations of the airborne chemicals emitted from body has been found in many different pathologies particular for various forms cancer. Metabolism cancer cells is greatly altered during their lifetime; then, modification supposed to be large around tissues. Positive hints this direction were provided, as an example, on studying breath composition lung cancer-affected subjects. Besides conventional analytical approaches, recent years sensor arrays also...
Hybrid materials based on wide band gap semiconductors and dye molecules are intensively studied for photovoltaic applications. However, these also possess interesting gas sensitivities, besides photonic effects. In this Article, we report the study, under visible light illumination, of porphyrin-functionalized ZnO nanorod photoconductivity changes, modulated by exposure to two volatile organic compounds, ethanol triethylamine, chosen as model analytes. The sensitivity triethylamine exceeds...
In this paper we discuss the applicability of numerical descriptors and statistical physics concepts to characterize complex biological systems observed at microscopic level through organ on chip approach. To end, employ data collected a microfluidic platform in which leukocytes can move suitably built channels toward their target. Leukocyte behavior is recorded by standard time lapse imaging. particular, analyze three groups human peripheral blood mononuclear cells (PBMC): heterozygous...
Cancer cells and non-cancer differ in their metabolism they emit distinct volatile compound profiles, allowing to recognise cancer by scent. Insect odorant receptors are excellent chemosensors with high sensitivity a broad receptive range unmatched current gas sensors. We thus investigated the potential of utilising fruit fly's olfactory system detect cells. Using vivo calcium imaging, we recorded an array receptor neurons on antenna. performed multidimensional analysis antenna responses,...
Abstract The efficacy of breath volatile organic compounds (VOCs) analysis for the screening patients bearing breast cancer lesions has been demonstrated by using gas chromatography and artificial olfactory systems. On other hand, in-vitro studies suggest that VOCs detection could also give important indications regarding molecular tumorigenic characteristics tumor cells. Aim this study was to analyze in headspace cell lines order ascertain potentiality signatures giving information about...
Abstract The dynamic contrast-enhanced MR imaging plays a crucial role in evaluating the effectiveness of neoadjuvant chemotherapy (NAC) even since its early stage through prediction final pathological complete response (pCR). In this study, we proposed transfer learning approach to predict if patient achieved pCR (pCR) or did not (non-pCR) by exploiting, separately combination, pre-treatment and early-treatment exams from I-SPY1 TRIAL public database. First, low-level features, i.e.,...
Abstract We describe a novel method to achieve universal, massive, and fully automated analysis of cell motility behaviours, starting from time-lapse microscopy images. The approach was inspired by the recent successes in application machine learning for style recognition paintings artistic transfer. originality relies i) on generation atlas collection single-cell trajectories order visually encode multiple descriptors motility, ii) pre-trained Deep Learning Convolutional Neural Network...