Applied Sciences Webinar | Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications
Welcome from the Chair
18th Applied Sciences Webinar
Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications
Dear Colleagues,
Vibrational spectroscopy is one of the key instrumentations that allows for the non-invasive investigation of the structural and chemical composition of both organic and inorganic materials. In recent years, relevant progress has been achieved within the biospectroscopy field, with applications mainly being in clinical chemistry (disease pattern recognition, non-invasive assays, or the screening of neurodegenerative diseases), medical diagnostics (in particular, cancer vs. healthy), or the characterization of biomaterials (e.g., cartilage or bone composition). Instrumental developments with regard to components include fibre lasers, quantum cascade lasers as tuneable radiation sources, components for bedside patient monitoring, and instruments for microscopy and imaging.
As concerns precision medicine, spectral histopathology and cytopathology have advanced to deliver results that are ready for application in intraoperative decisions. Spectral data handling for tissue classification poses the challenge of an enormous amount of data, which requires efficient algorithms, chemometric methods, and high computer power with appropriate data storage. Machine learning and deep learning algorithms have been successfully applied to manage large datasets originating from the applications of such techniques.
This Special Issue, “Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications”, aims to collect and publish recent advances in this interdisciplinary area. Research articles, as well as reviews, dealing with innovative measurement techniques, instrumentation development, and novel applications of all parts of vibrational spectroscopy and AI methods are invited. Manuscripts referring to the analysis of biofluid or tissue biopsy samples, cellular and subcellular investigations, or integral tissue characterization and related innovative methods of data analysis are welcome.
Date: 27 November 2024
Time: 10:00 am CET | 5:00 pm CST Asia
Webinar ID: 819 8482 0659
Webinar Secretariat: journal.webinar@mdpi.com
Event Chairs
Mario D'Acunto has obtained a PhD degree and he currently works at the Institute of Biophysics (IBF), Italian National Research Council. Mario’s research interests are condensed and soft matter physics, nanophysics, Raman spectroscopy, and quantum biology. During the course of his scientific career, he has made pioneering contributions in the areas of nanotribology, nano-optics and nanophotonics, scanning probe microscopy, atomic force microscopy, near-field optical scanning microscopy, and nonlinear dynamical systems. Mario's scientific accomplishments include the first model ever proposed for Onset Wear on an atomic scale, near-field plasmonic behaviour of metal nanoparticles interacting with biological systems, and Raman scattering and imaging applied to oncology and quantum biology.
Keynote Speakers
Raman Spectroscopy Applied to Biomedicine
Mario D'Acunto has obtained a PhD degree and he currently works at the Institute of Biophysics (IBF), Italian National Research Council. Mario’s research interests are condensed and soft matter physics, nanophysics, Raman spectroscopy, and quantum biology. During the course of his scientific career, he has made pioneering contributions in the areas of nanotribology, nano-optics and nanophotonics, scanning probe microscopy, atomic force microscopy, near-field optical scanning microscopy, and nonlinear dynamical systems. Mario's scientific accomplishments include the first model ever proposed for Onset Wear on an atomic scale, near-field plasmonic behavior of metal nanoparticles interacting with biological systems, and Raman scattering and imaging applied to oncology and quantum biology.
Topographical Machine Learning of Raman
Francesco Conti received his M.S. degree in Mathematics from the University of Bologna, Italy, and obtained his PhD in Mathematics from the University of Pisa. Currently, he is post-doc at INRIA, France. His interests include topological data analysis (TDA) and group equivariant non-expansive operators (GENEOs).
Institute of Information Science and Technologies, Italian National Research Council, Italy
Cancer Grading by Raman Spectroscopy
Gianmarco Lazzini received his PhD in Physics from the University of Parma, Italy. He is currently a post-doc at the Institute of Science and Informatic Technologies, National Research Council, Pisa, Italy. His research interests are focused on the coupling between Raman spectroscopy and machine learning for applications in oncology.
Registration
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Certificates of attendance will be delivered to those who attend the live webinar.
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Recording
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Program
|
Speaker/Presentation |
Time in CET |
Time in CST Asia |
|
Dr Mario D’Acunto (Chair) Chair Introduction |
10:00–10:10 am |
5:00–5:10 pm |
|
Dr Mario D’Acunto (Speaker 1) Raman Spectroscopy Applied to Biomedicine |
10.10–10.30 am |
5:10–5:30 pm |
|
Dr Francesco Conti (Speaker 2) Topographical Machine Learning of Raman |
10.30–10.50 am |
5:30–5:50 pm |
|
Dr Gianmarco Lazzini (Speaker 3) Cancer Grading by Raman Spectroscopy |
10.50–11.10 am |
5:50–6:10 pm |
|
Q&A |
11.10–11.15 am |
6:00–6:15 pm |
|
Closing of Webinar Mario D’Acunto |
11.15–11.20 am |
6:15–6:20 pm |
Relevant Special Issue
Advanced Vibrational Spectroscopy Technology: Emerging Trends in Biomedical Applications
Guest Editor: Dr. Mario D’Acunto
Deadline for manuscript submissions: 20 January 2025
Sponsors and Partners
Organizers
