Trent University Graduate Thesis Collection

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    Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
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    Evaluation of Spectral Retrieval Methods for Hyperspectral Coherent Anti-Stokes Raman Scattering Microscopy

    Year: 2023, 2023
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Shafe-Purcell, John, Thesis advisor (ths): Slepkov, Aaron D, Degree granting institution (dgg): Trent University
    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

    Deep learning for removal of non-resonant background in CARS hyperspectroscopy

    Year: 2023, 2023
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Olaniyan, George Aderopo, Thesis advisor (ths): Slepkov, Aaron D, Degree committee member (dgc): Vreugdenhil, Andrew, Degree committee member (dgc): Gaspari, Franco, Degree granting institution (dgg): Trent University
    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

    Frequency-time and polarization considerations in spectral-focusing-based CARS microscopy

    Year: 2021, 2021
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Cole, Ryan, Thesis advisor (ths): Slepkov, Aaron D, Degree committee member (dgc): Atkinson, Bill, Degree committee member (dgc): Vreugdenhil, Andrew, Degree committee member (dgc): Tamblyn, Isaac, Degree granting institution (dgg): Trent University
    Abstract: <p>Spectral-focusing-based coherent anti-Stokes Raman scattering (SF-CARS) microscopy is a powerful imaging technique that involves temporally and spectrally stretching ultrashort laser pulses and controlling their frequency-time characteristics. However, a broader and more detailed understanding of the frequency-time characteristics of the laser pulses and signals involved, how they are… more

    Advanced broadband CARS microscopy based on a supercontinuum-generating photonic crystal fiber

    Year: 2019, 2019
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Porquez, Jeremy, Thesis advisor (ths): Slepkov, Aaron D, Degree committee member (dgc): Wortis, Rachel, Degree committee member (dgc): Gaspari, Franco, Degree committee member (dgc): Côté, Daniel, Degree granting institution (dgg): Trent University
    Abstract: <p>I have developed and improved a coherent anti-Stokes Raman scattering (CARS) microscope based on the spectral focusing (SF) technique. The CARS microscope uses an 800 nm oscillator and a photonic crystal fibre module to generate the supercontinuum Stokes. The photonic crystal fibre was originally designed to generate light beyond 945 nm which is useful for CARS microscopy in the CH/OH… more

    "Multimodal Contrast" from the Multivariate Analysis of Hyperspectral CARS Images

    Year: 2014, 2014
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Tabarangao, Joel Torralba, Thesis advisor (ths): Slepkov, Aaron D, Degree granting institution (dgg): Trent University
    Abstract: <p>The typical contrast mechanism employed in multimodal CARS microscopy involves the use of other nonlinear imaging modalities such as two-photon excitation fluorescence (TPEF) microscopy and second harmonic generation (SHG) microscopy to produce a molecule-specific pseudocolor image. In this work, I explore the use of unsupervised multivariate statistical analysis tools such as Principal… more