Prof. Francesco Ferranti Profile

Prof. Francesco Ferranti

Professor at Vrije Univ Brussel

SPIE Involvement:

Conference Chair | Conference Program Committee | Editor | Author

Publications (6)

Proceedings Article | 20 June 2024 Presentation + Paper

Advancing hemoglobinopathy screening with Raman spectroscopy and machine learning

Sara Abbasi, Mehdi Feizpour, Ilse Weets, Qing Liu, Hugo Thienpont, Francesco Ferranti, Heidi Ottevaere

Proceedings Volume 13006, 1300604 (2024) https://doi.org/10.1117/12.3014432

KEYWORDS: Raman spectroscopy, Machine learning, Principal component analysis, Proteins, Photonics, Glucose, Support vector machines

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Proceedings Article | 18 June 2024 Paper

Wavelength-dependent responses and machine learning in nanophotonics modeling

Francesco Ferranti

Proceedings Volume 13017, 130170D (2024) https://doi.org/10.1117/12.3025138

KEYWORDS: Nanophotonics, Modeling, Photonics

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Proceedings Article | 18 June 2024 Presentation + Paper

3D nanoprinting of high-numerical aperture multilevel metalenses

Koen Vanmol, Al Ameen Abdul Nazar, Hugo Thienpont, Francesco Ferranti, Jürgen Van Erps

Proceedings Volume 12995, 1299506 (2024) https://doi.org/10.1117/12.3017139

KEYWORDS: Metalenses, Two photon polymerization, Fabrication, Design, Refractive index, Printing, Lenses, Collimation, Telecommunications, Single mode fibers

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Proceedings Article | 13 March 2024 Presentation + Paper

Design and simulation of dielectric metasurface for aberration correction in fiber-scanning microendoscope

Susan Thomas, Francesco Ferranti, Shanti Bhattacharya

Proceedings Volume 12896, 1289603 (2024) https://doi.org/10.1117/12.3001302

KEYWORDS: Imaging systems, GRIN lenses, Design, Aberration correction, Endoscopy

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Proceedings Article | 3 October 2023 Poster + Paper

SERS biosensing of sickle cell hemoglobin from normal hemoglobin

Sara Abbasi, Bastián Carnero Groba, Ilse Weets, Qing Liu, Francesco Ferranti, Heidi Ottevaere

Proceedings Volume 12654, 1265409 (2023) https://doi.org/10.1117/12.2675806

KEYWORDS: Surface enhanced Raman spectroscopy, Principal component analysis, Raman spectroscopy, Diseases and disorders, Biosensing, Photonics, Molecules, Diagnostics, Support vector machines

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