Ray tracing in multimode sapphire fibre tapers

Meng, Qianwen (2025) Ray tracing in multimode sapphire fibre tapers. MPhil(R) thesis, University of Glasgow.

Abstract

This study explores a novel sapphire fibre taper-based photodynamic therapy (PDT) system, utilising a diode laser as the light source. The system consists of a diode laser, a silica delivery fibre and a tapered sapphire fibre, where the tapered segment functions as a probe for targeted light delivery in PDT applications. The research focuses on the numerical simulation of light propagation within the sapphire fibre taper, analysing the behaviour of reflected and transmitted light under varying conditions to evaluate system performance and determine the optimum geometry for sapphire fibre tapers to ensure efficient light utilisation and effective treatment coverage.

To validate the performance of the proposed sapphire fibre taper, this study employs mathematical methods of ray tracing and simulations using MATLAB. The modelling focuses on optimizing light propagation within the taper and controlling the transmission of light outside the taper, ensuring efficient delivery of therapeutic light to the target area. This research provides valuable insights into the design and optimisation of sapphire fibre tapers for PDT, enhancing light delivery precision while minimising unnecessary loss. The findings contribute to the development of more efficient and adaptable PDT systems, improving treatment effectiveness for various clinical applications.

• Item Type: Thesis (MPhil(R))
• Qualification Level: Doctoral
• Additional Information: Due to copyright issues this thesis is not available for viewing.
• Subjects: T Technology > T Technology (General)
• Colleges/Schools: College of Science and Engineering
• Supervisor's Name: Sharp, Dr. James and Surre, Dr. Frederic
• Date of Award: 2025
• Depositing User: Theses Team
• Unique ID: glathesis:2025-85283
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 02 Jul 2025 14:41
• Last Modified: 02 Jul 2025 14:41
• Thesis DOI: 10.5525/gla.thesis.85283
• URI: https://theses.gla.ac.uk/id/eprint/85283