Optimisation of Raman spectral processing for classification of radiotherapeutic toxicity

Isha Behl; Dinesh K. R. Medipally; Chris Talbot; Aidan D. Meade; Fiona M. Lyng

doi:10.1117/12.2647843

16 March 2023 Optimisation of Raman spectral processing for classification of radiotherapeutic toxicity

Isha Behl, Dinesh K. R. Medipally, Chris Talbot, Aidan D. Meade, Fiona M. Lyng

Proceedings Volume 12387, Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics; 123870I (2023) https://doi.org/10.1117/12.2647843
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

Severe radiation toxicity can continue years after the completion of radiotherapy for prostate cancer patients. Currently, it is impossible to predict before treatment which patients will experience these long-term side effects. New approaches based on vibrational spectroscopy have advantages over lymphocyte and genomic assays in terms of minimal sample preparation, speed and cost. A high throughput method has been developed to measure Raman spectra from liquid plasma in a cover glass bottomed 96 well plate. However, the Raman spectra can show contributions from glass and water. The current study aims to optimise pre-processing steps to improve classification performance.

Citation Download Citation

Isha Behl, Dinesh K. R. Medipally, Chris Talbot, Aidan D. Meade, and Fiona M. Lyng "Optimisation of Raman spectral processing for classification of radiotherapeutic toxicity", Proc. SPIE 12387, Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics, 123870I (16 March 2023); https://doi.org/10.1117/12.2647843

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