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Proceedings Paper

Identification and classification of human neural stem cells by infrared spectroscopic imaging
Author(s): G. Steiner; S. Küchler; E. Koch; R. Salzer; G. Schackert; M. Kirsch
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Paper Abstract

Human neural stem were cultivated and characterized using infrared spectroscopic imaging. A classification algorithm based on linear discriminate analysis was developed to distinguish the differentiation of the stem cells to neurons, astrocytes and stem cells without labeling. The classification is based upon spectral features which mainly arise from proteins, nucleic acids. A spectral training set was formed with spectra from cells which were identified by a subsequently staining according to a standard histological protocol. Differentiated cells could be classified with a high accuracy whereas not differentiated stem cells did exhibit some misclassifications

Paper Details

Date Published: 23 February 2009
PDF: 6 pages
Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 716911 (23 February 2009); doi: 10.1117/12.808765
Show Author Affiliations
G. Steiner, Dresden Univ. of Technology (Germany)
S. Küchler, Dresden Univ. of Technology (Germany)
E. Koch, Dresden Univ. of Technology (Germany)
R. Salzer, Dresden Univ. of Technology (Germany)
G. Schackert, Dresden Univ. of Technology (Germany)
M. Kirsch, Dresden Univ. of Technology (Germany)


Published in SPIE Proceedings Vol. 7169:
Advanced Biomedical and Clinical Diagnostic Systems VII
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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