A5067825197- Photonic and Optical Devices
- Radiomics and Machine Learning in Medical Imaging
- Mechanical and Optical Resonators
- Advanced X-ray and CT Imaging
- Advanced Fiber Laser Technologies
- Advanced Fiber Optic Sensors
- Astro and Planetary Science
- Advanced biosensing and bioanalysis techniques
- AI in cancer detection
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Isotope Analysis in Ecology
- MRI in cancer diagnosis
- Gold and Silver Nanoparticles Synthesis and Applications
- Semiconductor Lasers and Optical Devices
- Planetary Science and Exploration
- Forensic Anthropology and Bioarchaeology Studies
- Advanced Neuroimaging Techniques and Applications
- Near-Field Optical Microscopy
- Plasmonic and Surface Plasmon Research
- Biosensors and Analytical Detection
- Acoustic Wave Resonator Technologies
- Identification and Quantification in Food
- Image Processing and 3D Reconstruction
Nello Carrara Institute of Applied Physics
2015-2024
National Research Council
2017-2024
Hospital of Prato
2020-2023
University of Padua
2023
Kiel University
2023
Living Systems (United States)
2023
Consorzio Roma Ricerche
2021
National Academies of Sciences, Engineering, and Medicine
2021
National Research Council
2020
Institute of Biomedical Technologies
2019
Abstract Pooling publicly-available MRI data from multiple sites allows to assemble extensive groups of subjects, increase statistical power, and promote reuse with machine learning techniques. The harmonization multicenter is necessary reduce the confounding effect associated non-biological sources variability in data. However, when applied entire dataset before learning, leads leakage, because information outside training set may affect model building, potentially falsely overestimate...
High quality factor whispering-gallery-mode microresonators are ideally suited for nonlinear optical interactions. We analyze, experimentally and theoretically, a variety of χ((3)) interactions in silica microspheres, consisting third harmonic generation Raman assisted order sum-frequency the visible. A tunable, room temperature, cw multicolor emission microspherical has been achieved by controlling cavity mode dispersion exciting nonequatorial modes efficient frequency conversion.
Prostate cancer (PCa) is the most frequent male malignancy and assessment of PCa aggressiveness, for which a biopsy required, fundamental patient management. Currently, multiparametric (mp) MRI strongly recommended before biopsy. Quantitative mpMRI might provide radiologist with an objective noninvasive tool supporting decision-making in clinical practice decreasing intra- inter-reader variability. In this view, high dimensional radiomics features Machine Learning (ML) techniques, along Deep...
We implement a machine learning classification of similar proteins by PCA mixed with multipeak fitting on SERS spectra for effective discrimination based valid biological differences.
Abstract Background The current diagnosis of Alzheimer’s disease (AD) is based on a series analyses which involve clinical, instrumental and laboratory findings. However, signs, symptoms biomarker alterations observed in AD might overlap with other dementias, resulting misdiagnosis. Methods Here we describe new diagnostic approach for takes advantage the boosted sensitivity biomolecular detection, as allowed by seed amplification assay (SAA), combined unique specificity recognition, provided...
Cavity resonant enhanced stimulated Raman scattering (SRS), four-wave mixing, and broadband hyper-parametric oscillation in silica microbubble whispering gallery mode resonators (WGMR) forward backward directions are reported this Letter. We show that microbubbles can operate not only a highly ideal two-photon emission regime, but also generate combs, both natively multi-mode spaced. The nonlinear process is phase matched because of the interaction different families resonator.
Nowadays, advances in Artificial Intelligence (AI), especially machine and deep learning, present new opportunities to build tools that support the work of specialists areas apparently far from information technology field. One example such is ancient Egyptian hieroglyphic writing. In this study, we explore ability different convolutional neural networks (CNNs) classify pictures hieroglyphs coming two datasets images. Three well-known CNN architectures (ResNet-50, Inception-v3 Xception) were...
The objective of this work is to show the application a Deep Learning algorithm able operate segmentation ancient Egyptian hieroglyphs present in an image, with ambition be as versatile possible despite variability image source. problem quite complex, main obstacles being considerable amount different classes existing hieroglyphs, differences related hand scribe well great among various supports, such papyri, stone or wood, where they are written. Furthermore, all archaeological finds,...
Radiomics and artificial intelligence have the potential to become a valuable tool in clinical applications. Frequently, radiomic analyses through machine learning methods present issues caused by high dimensionality multicollinearity, redundant features are usually removed based on correlation analysis. We assessed effect of preprocessing—in terms voxel size resampling, discretization, filtering—on correlation-based reduction from cardiac T1 T2 maps patients with hypertrophic...
Optical Micro Bubble Resonators (OMBR) are emerging as new type of sensors characterized by high Q-factor and embedded micro-fluidic. Sensitivity is related to cavity field penetration and, therefore, the resonator thickness. At state art, methods for OMBR's wall thickness evaluation rely only on a theoretical approach. The purpose this study create non-destructive method measuring shell microbubble using reflectance confocal microscopy. was validated through measurements etched capillaries...
Abstract Radiomics is emerging as a promising and useful tool in cardiac magnetic resonance (CMR) imaging applications. Accordingly, the purpose of this study was to investigate, for first time, effect image resampling/discretization filtering on radiomic features estimation from quantitative CMR T1 T2 mapping. Specifically, maps 26 patients with hypertrophic cardiomyopathy (HCM) were used estimate 98 7 different resampling voxel sizes (at fixed bin width), 9 widths size), spatial filters...
Whispering gallery mode resonators (WGMR), as silica microspheres, have been recently proposed an efficient tool for the realisation of optical biosensors. In this work we present a functionalization procedure based on DNA-aptamer sequence immobilization WGMR, able to recognize specifically thrombin or VEGF protein, preserving high Q factor. The protein binding was numerically modelled and optically characterized in terms specificity buffer solution 10% diluted human serum. aptasensor also...
We disclose the use of hybrid materials featuring Au/Ag core/shell nanorods in porous chitosan/polyvinyl alcohol scaffolds for applications tissue engineering and wound healing. The combination Au Ag a single construct provides synergistic opportunities optical activation functions as near infrared laser bonding, remote interrogation to return parameters prognostic relevance healing monitoring. In particular, bimetallic component ensures tunability, enhanced shelf life photothermal...
Abstract NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging integrative omics analyses. The project’s goal to develop open biobank for collection preservation a large amount standardised multimodal datasets, including computed tomography, magnetic resonance imaging, positron emission tomography data, together corresponding...
Optical fiber sensors, thanks to their compactness, fast response and real-time measurements, have a large impact in the fields of life science research, drug discovery medical diagnostics. In recent years, advances nanotechnology resulted development nanotools, capable entering single cell, resulting new nanobiosensors useful for detection biomolecules inside living cells. this paper, we provide an application nanotip coupled with molecular beacons (MBs) DNA. The MBs were characterized by...
Whispering-gallery-mode (WGM) microresonators are used as optical transducers for sensing applications. The typical detection scheme is based on tracking the WGM resonance shift, by scanning with a tunable laser, when change of refractive index in region probed takes place. We propose approach instead monitoring position laser line fiber ring having microsphere its loop. have demonstrated that induced shift same and resonance. proposed method requires simpler, cheaper equipment may also...
Nanoprobe tips are key components in many applications such as scanning probe microscopes, nanoscale imaging, nanofabrication and sensing. This paper describes a dynamic chemical etching method for the fabrication of optical nanoprobes. The produced by mechanically rotating dipping silica fibre solution (aqueous hydrofluoric acid) covered with protection layer. Using different regimes mechanical movements during process, it is possible to vary cone angle, shape, roughness It found that tip...
The design of Whispering Gallery Mode Resonators (WGMRs) used as an optical transducer for biosensing represents the first and crucial step towards optimization final device performance in terms sensitivity Limit Detection (LoD). Here, we propose analytical method microbubble resonator (OMBR)-based biosensor. In order to enhance OMBR sensing performance, consider a polymeric layer high refractive index inner coating OMBR. effect this other optical/geometrical parameters on mode field...
Abstract We report on the experimental and theoretical analysis of parametrical optomechanical oscillations in hollow spherical phoxonic whispering gallery mode resonators due to radiation pressure. The optically excited acoustic eigenmodes cavity oscillate regeneratively leading parametric oscillation instabilities.