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一种用于细胞和组织红外显微镜光谱的米氏消光扩展乘法信号校正的开源代码。

An open-source code for Mie extinction extended multiplicative signal correction for infrared microscopy spectra of cells and tissues.

作者信息

Solheim Johanne H, Gunko Evgeniy, Petersen Dennis, Großerüschkamp Frederik, Gerwert Klaus, Kohler Achim

机构信息

Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.

Faculty of Radiophysics and Computer Technologies, Department of System Analysis and Computer Modeling, BY-Belarusian State University (BY-BSU), Minsk, Republic of Belarus.

出版信息

J Biophotonics. 2019 Aug;12(8):e201800415. doi: 10.1002/jbio.201800415. Epub 2019 Mar 14.

Abstract

Infrared spectroscopy of single cells and tissue is affected by Mie scattering. During recent years, several methods have been proposed for retrieving pure absorbance spectra from such measurements, while currently no user-friendly version of the state-of-the-art algorithm is available. In this work, an open-source code for correcting highly scatter-distorted absorbance spectra of cells and tissues is presented, as well as several improvements of the latest version of the Mie correction algorithm based on extended multiplicative signal correction (EMSC) published by Konevskikh et al. In order to test the stability of the code, a set of apparent absorbance spectra was simulated. To this purpose, pure absorbance spectra based on a Matrigel spectrum are simulated. Scattering contributions where obtained by mimicking the scattering features observed in a set of experimentally obtained spectra . It can be concluded that the algorithm is not depending strongly on the reference spectrum used for initializing the algorithm and retrieves well the underlying pure absorbance spectrum. The calculation time of the algorithm is considerably improved with respect to the resonant Mie scattering EMSC algorithm used by the community today.

摘要

单细胞和组织的红外光谱会受到米氏散射的影响。近年来,已经提出了几种从此类测量中获取纯吸收光谱的方法,但目前尚无用户友好型的最新算法版本。在这项工作中,展示了一个用于校正细胞和组织高度散射扭曲吸收光谱的开源代码,以及对Konevskikh等人发表的基于扩展乘法信号校正(EMSC)的米氏校正算法最新版本的若干改进。为了测试代码的稳定性,模拟了一组表观吸收光谱。为此,基于基质胶光谱模拟了纯吸收光谱。通过模拟在一组实验获得的光谱中观察到的散射特征来获得散射贡献。可以得出结论,该算法并不强烈依赖于用于初始化算法的参考光谱,并且能够很好地恢复潜在的纯吸收光谱。相对于当今学术界使用的共振米氏散射EMSC算法,该算法的计算时间有了显著改善。

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