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Towards automated cancer screening: label-free classification of fixed cell samples using wavelength modulated Raman spectroscopy

Research output: Contribution to journalArticle

Author(s)

Lana Woolford, Mingzhou Chen, Kishan Dholakia, C. Simon Herrington

School/Research organisations

Abstract

The ability to provide quantitative, objective and automated pathological analysis would provide enormous benefits for national cancer screening programmes, in terms of both resource reduction and improved patient wellbeing. The move towards molecular pathology through spectroscopic methods shows great promise, but has been restricted by spectral quality, acquisition times and lack of direct clinical application. In this paper, we present the application of wavelength modulated Raman spectroscopy for the automated label- and fluorescence-free classification of fixed squamous epithelial cells in suspension, such as those produced during a cervical smear test. Direct comparison with standard Raman spectroscopy shows marked improvement of sensitivity and specificity when considering both human papillomavirus (sensitivity +12.0%, specificity +5.3%) and transformation status (sensitivity +10.3%, specificity +11.1%). Studies on the impact of intracellular sampling location and storage effects suggest that wavelength modulated Raman spectroscopy is sufficiently robust to be used in fixed cell classification, but requires further investigations of potential sources of molecular variation in order to improve current clinical tools.
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Details

Original languageEnglish
Article numbere201700244
JournalJournal of Biophotonics
Volume11
Issue number4
Early online date30 Jan 2018
DOIs
StatePublished - Apr 2018

    Research areas

  • Cancer, cervix, Raman spectroscopy, Screening

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