Year: 2023, 2023
Member of: Trent University Graduate Thesis Collection
Abstract: <p>Coherent anti-Stokes Raman scattering (CARS) microscopy is a label-free chemical imaging modality that uses CARS as a contrast mechanism to spatially resolve materials based on their molecular vibrational spectra. Due to the presence of a non resonant background that obfuscates the chemical information contained in CARS spectra, CARS images suffer from poor contrast and cannot be readily… more Full Text: Evaluation of Spectral Retrieval Methods for Hyperspectral Coherent Anti-Stokes Raman Scattering Microscopy A Thesis Submitted to the Committee of Graduate Studies in Partial Fulfillment of the Requirements of the Degree of Master of Science in the …
Year: 2023, 2023
Member of: Trent University Graduate Thesis Collection
Abstract: <p>In this work, a deep learning approach proposed by Valensise et al. [3] for extracting Raman resonant spectra from measured broadband CARS spectra was explored to see how effective it is at removing NRB from our experimentally measured "spectral-focusing"-based approach to CARS. A large dataset of realistic simulated CARS spectra was used to train a model capable of performing… more Full Text: Deep learning for removal of non-resonant background in CARS hyperspectroscopy A thesis submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Art and Science Trent …
