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23 February 2009 Identification and classification of human neural stem cells by infrared spectroscopic imaging
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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
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Steiner, S. Küchler, E. Koch, R. Salzer, G. Schackert, and M. Kirsch "Identification and classification of human neural stem cells by infrared spectroscopic imaging", Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 716911 (23 February 2009); https://doi.org/10.1117/12.808765
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