|
|||||
|
|
Crisp and soft multivariate methods visualize individual cell nuclei in Raman images of liver tissue sections |
|
| Authors: | Christoph Krafft Mehrnaz Alipour DiderhoshanPeter Recknagel Milos MiljkovicMichael Bauer Jürgen Popp |
| Institution: | a Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany b Department of Anesthesiology and Critical Care Therapy, University Hospital Jena, Erlanger Allee 101, 07740 Jena, Germany c Laboratory for Spectral Diagnosis, Chemistry and Chemical Biology Department, Northeastern University, Boston, MA 02115, USA d Institute of Physical Chemistry, University Jena, Helmholtzweg 4, 07743 Jena, Germany |
| Abstract: | 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. |
| Keywords: | Raman imaging FTIR imaging Tissue diagnostics Chemometric data analysis |
| 本文献已被 ScienceDirect 等数据库收录！ | |