Mr. Andrea Rabolini Profile

Andrea Rabolini

PhD Student at Politecnico di Milano

SPIE Involvement:

Author | Student Chapter President

Area of Expertise:

Biophotonics , Nonlinear Microscopy , CARS Microscopy

Websites:

Company Website

Publications (4)

Proceedings Article | 13 March 2024 Presentation

Real-time wide-field broadband CARS microscopy

Chiara Ceconello, Federico Vernuccio, Andrea Rabolini, Arianna Bresci, Francesco Manetti, Salvatore Sorrentino, Renzo Vanna, Giulio Cerullo, Dario Polli

Proceedings Volume PC12870, PC1287005 (2024) https://doi.org/10.1117/12.3002962

KEYWORDS: Vibration, Microscopy, Supercontinuum generation, Signal generators, Raman spectroscopy, Pulse signals, Nonlinear optics, Ytterbium, YAG lasers, Video

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Proceedings Article | 13 March 2024 Presentation

Wide-field real-time broadband CARS microscopy

Chiara Ceconello, Andrea Rabolini, Federico Vernuccio, Arianna Bresci, Francesco Manetti, Salvatore Sorrentino, Renzo Vanna, Giulio Cerullo, Dario Polli

Proceedings Volume PC12847, PC128470J (2024) https://doi.org/10.1117/12.3004526

KEYWORDS: Vibration, Microscopy, Supercontinuum generation, Signal generators, Raman spectroscopy, Pulse signals, Nonlinear optics, Ytterbium, YAG lasers, Video

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Proceedings Article | 13 March 2024 Presentation

Deep transfer learning and ensemble learning coupled with non-linear optical microscopy for the classification of senescent cells

Salvatore Sorrentino, Francesco Manetti, Arianna Bresci, Federico Vernuccio, Chiara Ceconello, Marco Ventura, Andrea Rabolini, Silvia Ghislanzoni, Italia Bongarzone, Renzo Vanna, Giulio Cerullo, Dario Polli

Proceedings Volume PC12855, PC128550R (2024) https://doi.org/10.1117/12.3001077

KEYWORDS: Nonlinear optics, Optical microscopy, Cancer, Radiotherapy, Oncology, Neural networks, Microscopes, Deep learning, Chemotherapy, Tumors

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Proceedings Article | 13 March 2024 Presentation

Deep ensemble-transfer learning for the classification of senescent cells from Non-linear optical microscopy images

Proceedings Volume PC12834, PC128340B (2024) https://doi.org/10.1117/12.2691639

KEYWORDS: Nonlinear optics, Optical microscopy, Image classification, Cancer, Oncology, Deep learning, Neural networks, Microscopy, Cancer detection, Two photon excitation microscopy

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