期刊
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 403, 期 3, 页码 719-725出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s00216-012-5858-1
关键词
Raman imaging; Brain tumors; Non-dried specimens; Hyperspectral unmixing
资金
- European Union via the Europaischer Fonds fur Regionale Entwicklung (EFRE)
- Thuringer Ministerium fur Bildung, Wissenschaft und Kultur [B714-07037]
- Bundesministerium fur Bildung und Forschung (BMBF) [FKZ: 13N10774]
Raman microspectroscopic imaging provides molecular contrast in a label-free manner with subcellular spatial resolution. These properties might complement clinical tools for diagnosis of tissue and cells in the future. Eight Raman spectroscopic images were collected with 785 nm excitation from five non-dried brain specimens immersed in aqueous buffer. The specimens were assigned to molecular and granular layers of cerebellum, cerebrum with and without scattered tumor cells of astrocytoma WHO grade III, ependymoma WHO grade II, astrocytoma WHO grade III, and glioblastoma multiforme WHO grade IV with subnecrotic and necrotic regions. In contrast with dried tissue section, these samples were not affected by drying effects such as crystallization of lipids or denaturation of proteins and nucleic acids. The combined data sets were processed by use of the hyperspectral unmixing algorithms N-FINDR and VCA. Both unsupervised approaches calculated seven endmembers that reveal the abundance plots and spectral signatures of cholesterol, cholesterol ester, nucleic acids, carotene, proteins, lipids, and buffer. The endmembers were correlated with Raman spectra of reference materials. The focus of the single mode laser near 1 mu m and the step size of 2 mu m were sufficiently small to resolve morphological details, for example cholesterol ester islets and cell nuclei. The results are compared for both unmixing algorithms and with previously reported supervised spectral decomposition techniques.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据