RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing

Authors

  • Paul Bassan,

    1. School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
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  • Achim Kohler,

    1. Nofima Mat, Centre for Biospectroscopy and Data Modelling, Osloveien 1, 1430 Ås, Norway
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  • Harald Martens,

    1. Nofima Mat, Centre for Biospectroscopy and Data Modelling, Osloveien 1, 1430 Ås, Norway
    2. CIGENE, Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, 1430 Ås, Norway
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  • Joe Lee,

    1. School of Chemical Engineering and Analytical Science, The Mill, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK
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  • Edward Jackson,

    1. School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
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  • Nicholas Lockyer,

    1. School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
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  • Paul Dumas,

    1. Synchrotron SOLEIL, L'Orme des Merisiers, BP48 – Saint Aubin, 91192 Gif-sur-Yvette Cedex, France
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  • Michael Brown,

    1. Genito Urinary Cancer Research Group, School of Cancer and Enabling Sciences, Paterson Institute for Cancer Research, The University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK, M20 4BX, UK
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  • Noel Clarke,

    1. Genito Urinary Cancer Research Group, School of Cancer and Enabling Sciences, Paterson Institute for Cancer Research, The University of Manchester, Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK, M20 4BX, UK
    2. Department of Urology, The Christie NHS Foundation Trust, Manchester, UK, M20 4BX, UK
    3. Department of Urology, Salford Royal NHS Foundation Trust, Salford, UK, M6 8HD, UK
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  • Peter Gardner

    Corresponding author
    1. School of Chemical Engineering and Analytical Science, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK
    • Tel.: 0161 306 4463, Fax: 0161 306 5201
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Abstract

In the field of biomedical infrared spectroscopy it is often desirable to obtain spectra at the cellular level. Samples consisting of isolated single biological cells are particularly unsuited to such analysis since cells are strong scatterers of infrared radiation. Thus measured spectra consist of an absorption component often highly distorted by scattering effects. It is now known that the predominant contribution to the scattering is Resonant Mie Scattering (RMieS) and recently we have shown that this can be corrected for, using an iterative algorithm based on Extended Multiplicative Signal Correction (EMSC) and a Mie approximation formula. Here we present an iterative algorithm that applies full Mie scattering theory. In order to avoid noise accumulation in the iterative algorithm a curve-fitting step is implemented on the new reference spectrum. The new algorithm increases the computational time when run on an equivalent processor. Therefore parallel processing by a Graphics Processing Unit (GPU) was employed to reduce computation time. The optimised RMieS-EMSC algorithm is applied to an IR spectroscopy data set of cultured single isolated prostate cancer (PC-3) cells, where it is shown that spectral distortions from RMieS are removed. (© 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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