Crisp and soft multivariate methods visualize individual cell nuclei in Raman images of liver tissue sections

被引：43

作者：

Krafft, Christoph ^{[1
]}

Diderhoshan, Mehrnaz Alipour ^{[1
]}

Recknagel, Peter ^{[2
]}

Miljkovic, Milos ^{[3
]}

Bauer, Michael ^{[2
]}

Popp, Juergen ^{[1
,4
]}

机构：

[1] Inst Photon Technol, D-07745 Jena, Germany

[2] Univ Hosp Jena, Dept Anesthesiol & Crit Care Therapy, D-07740 Jena, Germany

[3] Northeastern Univ, Lab Spectral Diagnosis, Chem & Chem Biol Dept, Boston, MA 02115 USA

[4] Univ Jena, Inst Phys Chem, D-07743 Jena, Germany

来源：

VIBRATIONAL SPECTROSCOPY | 2011年 / 55卷 / 01期

关键词：

Raman imaging; FTIR imaging; Tissue diagnostics; Chemometric data analysis; INFRARED-SPECTROSCOPY; IR MICROSPECTROSCOPY; SCATTERING;

D O I：

10.1016/j.vibspec.2010.09.003

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Raman and infrared spectroscopy have been recognized to be promising tools in clinical diagnostics because they provide molecular contrast without external stains. Here, vertex component analysis (VCA) was applied to Raman and Fourier transform infrared (FTIR) images of liver tissue sections and the results were compared with K-means cluster analysis, fuzzy C-means cluster analysis and principal component analysis. The main components of VCA from three Raman images were assigned to the central vein, periportal vein, cell nuclei, liver parenchyma and bile duct. After resonant Mie scattering correction, VCA of FTIR images identified veins, liver parenchyma, cracks, but no cell nuclei. The advantages of VCA in the context of tissue characterization by vibrational spectroscopic imaging are that the tissue architecture is visualized and the spectral information is reconstructed. Composite images were constructed that revealed a high molecular contrast and that can be interpreted in a similar way like hematoxylin and eosin stained tissue sections. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：90 / 100

页数：11

共 26 条

[1] Resonant Mie Scattering (RMieS) correction of infrared spectra from highly scattering biological samples [J].