Mr. Ryan Muddiman Profile

Ryan Muddiman

at National Univ of Ireland Maynooth

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Publications (5)

Proceedings Article | 27 November 2023 Poster + Paper

Spectral interferometric polarization-CARS for hyperspectral imaging

Ryan Muddiman, Bryan Hennelly

Proceedings Volume 12770, 127702Z (2023) https://doi.org/10.1117/12.2687608

KEYWORDS: Polarization, Raman spectroscopy, Hyperspectral imaging, Vibration, Polystyrene, Photons, Interferometry, Spectroscopy, Polymethylmethacrylate, Imaging spectroscopy

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Proceedings Article | 27 November 2023 Poster + Paper

Deep-learning autoencoders for unsupervised BCARS chemical imaging

Ryan Muddiman, Bryan Hennelly

Proceedings Volume 12770, 1277033 (2023) https://doi.org/10.1117/12.2687670

KEYWORDS: Imaging spectroscopy, Deep learning, Phase retrieval, Chemical analysis, Statistical analysis, Neural networks, Image analysis, Glasses, Distortion, Denoising

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Proceedings Article | 30 August 2023 Paper

In-vitro screening of immune response with FTIR spectroscopy in a miRNA murine knock out model

Ryan Muddiman, Abigail Keogan, Daniel Cullen, Remsha Afzal, Frances Nally, Claire McCoy, Aidan Meade

Proceedings Volume 12627, 1262708 (2023) https://doi.org/10.1117/12.2670747

KEYWORDS: Spectroscopy, Spectral response, In vitro testing, FT-IR spectroscopy

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Proceedings Article | 30 August 2023 Paper

Data fusion strategies for multi-modal classification of auto-immune dysregulation with vibrational spectroscopy

Mohd Rifqi Rafsanjani, Ryan Muddiman, Daniel Cullen, Remsha Afzal, Frances Nally, Claire McCoy, Aidan Meade

Proceedings Volume 12627, 126270A (2023) https://doi.org/10.1117/12.2670990

KEYWORDS: Vibration, Spectroscopy, Data fusion

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Proceedings Article | 9 October 2021 Poster + Paper

Field guide for building a broadband CARS system for biomedical applications

Ryan Muddiman, Kevin O'Dwyer, Zhengyuan Tang, Bryan Hennelly

Proceedings Volume 11900, 1190020 (2021) https://doi.org/10.1117/12.2601223

KEYWORDS: Raman spectroscopy, Prisms, Mirrors, Raman scattering, Microscopes, Signal detection, Spectroscopy, Molecules, Microelectromechanical systems, Laser sources

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Raman micro-spectroscopy (RMS) is a powerful technique for the identification, classification, and diagnosis of cancer cells and tissues.¹ The requirement for long acquisition times of 1-30 s have impeded clinical application. The slow acquisition time can be overcome by the use of coherent Raman scattering (CRS), a class of thirdorder nonlinear optical spectroscopies that employ a sequence of light pulses to set-up a vibrational coherence within the ensemble of molecules inside the laser focus. The two most widely employed CRS techniques are coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS) both of which achieve extremely high acquisition speeds up to the video rate, but traditional architectures are limited in terms of “single frequency” detection resulting from the use of picosecond pump and Stokes pulses with an optical bandwidth of a few wavenumbers. An important breakthrough has been recently achieved by the Cicerone group² using a femtosecond Er:fiber laser oscillator followed by two erbium doped fiber amplifier arms; one arm is frequency doubled to generate narrow-band pulses at 770 nm with a flat-top 3.8 ps temporal profile, while the other is spectrally broadened in a highly non-linear fiber to generate a broad supercontinuum spanning the 900–1350 nm wavelength region. This pulse combination enables extraction of the CARS response by both the two-color and the three-color mechanism. While all previous broadband CARS systems failed to provide a low-noise spectrum in the fingerprint region, this approach has enabled Raman spectra in the whole biologically relevant frequency region (500–3500 cm^-1) to be captured with 10 cm^-1 resolution and 3.5 ms acquisition. Here, we provide guidance on the initial setup and optimization of this bCARS micro-spectroscopy system, with specific examples of the common pitfalls encountered during the setup. This is particularly useful for those coming from a background of designing spontaneous Raman spectroscopy systems for biomedical applications.

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