A5042631815- Cell Image Analysis Techniques
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Image Processing Techniques and Applications
- Microfluidic and Capillary Electrophoresis Applications
- Electrohydrodynamics and Fluid Dynamics
- Neuroscience and Neural Engineering
- Erythrocyte Function and Pathophysiology
- Innovative Microfluidic and Catalytic Techniques Innovation
- AI in cancer detection
- Microbial Inactivation Methods
- Generative Adversarial Networks and Image Synthesis
- Liver Disease Diagnosis and Treatment
- Integrated Circuits and Semiconductor Failure Analysis
- Emotion and Mood Recognition
- Biosensors and Analytical Detection
- Infrared Thermography in Medicine
- Cellular Mechanics and Interactions
- Electrochemical Analysis and Applications
- Cutaneous Melanoma Detection and Management
- Blood properties and coagulation
- Additive Manufacturing and 3D Printing Technologies
- Metal-Catalyzed Oxygenation Mechanisms
- Hepatitis C virus research
- Pain Mechanisms and Treatments
University of Rome Tor Vergata
2001-2025
Italian Institute of Technology
2024
ASL Roma
2016
Mario Negri Institute for Pharmacological Research
1990
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...
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformatics approaches that enable the use of very high-dimensional data availability dynamic models link phenomena across levels: from genes cells, cells organs, through whole organism. The combination phenomics, deep learning, machine learning represents a strong potential for phenotypical investigation, leading way more embracing approach, called phenomics (MLP). In particular, in this work we...
Accelerated ripening through the exposure of fruits to controlled environmental conditions and gases is nowadays one most assessed food technologies, especially for climacteric exotic products. However, a fine granularity control process consequently quality goods still missing, so management rooms mainly based on qualitative estimations only. Following modern paradigms Industry 4.0, this contribution proposes non-destructive RFID-based system automatic evaluation live avocados. The system,...
One of the major problems in bioimaging, often highly underestimated, is whether features extracted for a discrimination or regression task will remain valid broader set similar experiments presence unpredictable perturbations during image acquisition process. Such an issue even more important when it addressed context deep learning due to lack priori known relationship between black-box descriptors (deep features) and phenotypic properties biological entities under study. In this regard,...
3D bioprinting is at the forefront of tissue engineering to fabricate complex constructs resembling functional tissues. However, inability produce heterogeneous tissues and lack spatio-temporal control over release bioactive factors are greatly limiting clinical translation. Herein, combination with high-throughput dispensing using a custom microfluidic system nanoclay-based inks presented. This approach was found enhance printability, retention, controlled factors. Advanced models were...
The mechanism of phospholipase C regulation by inhibitory receptors was analyzed both in intact and permeabilized rat thyroid cells (FRTL5). In this system, the muscarinic agonist carbachol inhibited C, as indicated decrease basal levels inositol 1,4,5-trisphosphate well reduced adrenergic stimulation phosphoinositol accumulation, which paralleled a fall cytosolic Ca2+ levels. This inhibition involved an M2 receptor because it abolished atropine but not M1 antagonist pirenzepine. Cells...
This study evaluates the feasibility of a local action program for HCV micro-elimination in highly endemic areas. Retrospective analysis: administrative and laboratory data (Local Health Unit, southern Italy) were integrated to quantize anti-HCV-positive subjects not RNA tested untreated HCV-infected (2018-2022). Prospective all admitted division LHU largest hospital (2021-2022) HCV, with linkage active-infected patients care. Overall, 49287 HCV-Ab tested: 1071 (2.2%) resulted positive...
Recent advances in microfluidic technology and biomaterial science have augmented the use of organ-on-chip (OoC) to closely mimic human pathophysiology. Thus, it is now established that pericellular micro-environment plays a key role on cell behaviour, such as response drug compounds. OoC been shown enable fabrication micro-physiological systems recapitulating features vivo tissues including, mechanical forces (matrix stiffness, fluid shear stress, compressive/tensile stress), gradients...
Abstract RPL is a very debated condition, in which many issues concerning definition, etiological factors to investigate or therapies apply are still controversial. ML could help clinicians reach an objectiveness classification and access care. Our aim was stratify patients different risk classes by applying algorithm, through diagnostic work-up validate it for the appropriate prognosis potential therapeutic approach. 734 were enrolled divided into 4 classes, according numbers of...
Cell motility varies according to intrinsic features and microenvironmental stimuli, being a signature of underlying biological phenomena. The heterogeneity in cell response, due multilevel diversity especially relevant cancer, poses challenge identifying the scenario from trajectories. We propose here novel peer prediction strategy among trajectories, deciphering state (tumor vs. non-tumor), tumor stage response anti-cancer drug etoposide, based on morphology features, solving strong...
Abstract The incremented uptake provided by time-lapse microscopy in Organ-on-a-Chip (OoC) devices allowed increased attention to the dynamics of co-cultured systems. However, amount information stored long-time experiments may constitute a serious bottleneck experimental pipeline. Forward long-term prediction cell trajectories reduce spatial–temporal burden video sequences storage. Cell trajectory becomes crucial especially increase trustworthiness software tools designed conduct massive...
The incidence of hepatocellular carcinoma (HCC) and its association with hepatitis C (HCV) B virus (HBV) infections, FIB-4 index liver enzymes was assessed in an area the province Naples covered by a population-based cancer registry. We conducted cohort investigation on 4492 individuals previously enrolled seroprevalent survey HCV HBV infections. diagnosis HCC through record linkage Hepatic metabolic activity measured serum alanine transaminase, aspartate aminotransferase,...
One of the most challenging frontiers in biological systems understanding is fluorescent label-free imaging. We present here NeuriTES platform that revisits standard paradigms video analysis to detect unlabeled objects and adapt dynamic evolution phenomenon under observation. Object segmentation reformulated using robust algorithms assure regular cell detection transfer entropy measures are used study inter-relationship among parameters related evolving system. applied automatic neurites...
Cell motility is the brilliant result of cell status and its interaction with close environments. Its detection now possible, thanks to synergy high-resolution camera sensors, time-lapse microscopy devices, dedicated software tools for video data analysis. In this scenario, we formulated a novel paradigm in which considered individual cells as sort sensitive element sensor, exploits transducer returning movement an output signal. way, allows us retrieve information about chemical composition...
In computer vision systems, the final measurement result can be a digital output provided by software, i.e., diagnostic value along with an uncertainty interval. line previous work on melanoma disease, we present here platform for image analysis based Variational Auto-Encoders (VAE), category of deep learning generative models that learns how to reproduce in encoder/decoder strategy. Latent variables extracted from VAE architecture are compact representations appearance objects and used as...
Pain is an alert state of the human body that can be conveyed to external world through different modalities. A possible communication channel for pain represented by facial expressions, whose role in social interactions has been well established. In this work, link between and transfer entropy (TE), passing investigated. new approach vision-based measurement (VBM) presented, which based on TE among time-series landmarks positions. The system composed three main blocks: VBM block automatic...
Pain is a health problem of vast dimension that requires prompt diagnosis. However, the evaluation criteria currently used in clinical settings are based on self-rating scales, which subjective and prone to error. This may cause administering improper analgesic treatments, either dosage or duration. For scope providing objective measures pain help devising effective therapeutic choices, we designed personalized platform for sensing monitoring pain. As input platform, visual, speech...