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Biological and Chemical Physics

Technological University Dublin

Principal component analysis

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Full-Text Articles in Physics

The Clinical Transferability Of Raman Micro-Spectroscopic Systems For Cervical Cytopathology, Rubina Shaikh Dr, Sarah Loughlin, Alison Malkin, John J. O'Leary, Cara M. Martin, Fiona Lyng Jan 2023

The Clinical Transferability Of Raman Micro-Spectroscopic Systems For Cervical Cytopathology, Rubina Shaikh Dr, Sarah Loughlin, Alison Malkin, John J. O'Leary, Cara M. Martin, Fiona Lyng

Conference papers

The clinical potential for Raman microscopic systems is well established for early diagnosis via cytology. Although Raman systems offer a complementary diagnostic tool providing molecular information, it is not yet utilised substantially in clinics. A few challenges for the clinical implementation of Raman spectroscopy are system and user variability. In this study, we asked how much variability occurs due to different Raman systems or users. To address these questions, we measured the same set of cells using two different Raman microscopes and by two different users. And classification models were generated using multivariate partial least squares discriminant analysis (PLS-DA) and …


Competitive Evaluation Of Data Mining Algorithms For Use In Cassification Of Leukocyte Subtypes With Raman Microspectroscopy, Adrian Maguire, I. Vega-Carrascal, Jane Bryant, Lisa White, Orla Howe, Fiona Lyng, Aidan Meade Dec 2014

Competitive Evaluation Of Data Mining Algorithms For Use In Cassification Of Leukocyte Subtypes With Raman Microspectroscopy, Adrian Maguire, I. Vega-Carrascal, Jane Bryant, Lisa White, Orla Howe, Fiona Lyng, Aidan Meade

Articles

Raman microspectroscopy has been investigated for some time for use in label-free cell sorting devices. These approaches require coupling of the Raman spectrometer to complex data mining algorithms for identification of cellular subtypes such as the leukocyte subpopulations of lymphocytes and monocytes. In this study, three distinct multivariate classification approaches, (PCA-LDA, SVMs and Random Forests) are developed and tested on their ability to classify the cellular subtype in extracted peripheral blood mononuclear cells (T-cell lymphocytes from myeloid cells), and are evaluated in terms of their respective classification performance. A strategy for optimisation of each of the classification algorithm is presented …