RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing
RMieS-EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing
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DOI：
10.1002/jbio.201000036
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发表时间：
2010-08-01
影响因子：
2.8
通讯作者：
Gardner, Peter
中科院分区：
文献类型：
--
作者：
Bassan, Paul;Kohler, Achim;Gardner, Peter
在生物医学红外光谱学领域，通常希望获得细胞水平的光谱。由分离的单个生物细胞组成的样品特别不适合于这种分析，因为细胞是红外辐射的强散射体。因此，测量的光谱由吸收分量组成，该吸收分量通常因散射效应而高度失真。现在已知对散射的主要贡献是共振麦克风散射（RMieS），并且最近我们已经表明，这可以使用基于扩展乘法信号校正（EMSC）和Mie近似公式的迭代算法来校正。在这里，我们提出了一个迭代算法，适用于完整的米氏散射理论。为了避免迭代算法中的噪声积累，在新的参考光谱上实施曲线拟合步骤。新算法在同等处理器上运行时，增加了计算时间。因此，图形处理单元（GPU）的并行处理被用来[GRAPHICS]减少计算时间。将优化的RMieS-EMSC算法应用于培养的单个分离的前列腺癌（PC-3）细胞的IR光谱数据集，其中示出了从RMieS的光谱失真被去除。
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 Mic 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[GRAPHICS]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.