Paper
8 May 2012 Label-free multimodal microspectroscopic differentiation of glioblastoma tumor model cell lines combined with multivariate data analysis
Edwin Ostertag, Barbara Boldrini, Sabrina Luckow, Rudolf W. Kessler
Author Affiliations +
Abstract
Glioblastoma multiforme represents a highly lethal brain tumor. A tumor model has been developed based on the U-251 MG cell line from a human explant. The tumor model simulates different malignancies by controlled expression of the tumor suppressor proteins PTEN and TP53 within the cell lines derived from the wild type. The cells from each different malignant cell line are grown on slides, followed by a paraformaldehyde fixation. UV / VIS and IR spectra are recorded in the cell nuclei. For the differentiation of the cell lines a principal component analysis (PCA) is performed. The PCA demonstrates a good separation of the tumor model cell lines both with UV / VIS spectroscopy and with IR spectroscopy.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edwin Ostertag, Barbara Boldrini, Sabrina Luckow, and Rudolf W. Kessler "Label-free multimodal microspectroscopic differentiation of glioblastoma tumor model cell lines combined with multivariate data analysis", Proc. SPIE 8427, Biophotonics: Photonic Solutions for Better Health Care III, 84271U (8 May 2012); https://doi.org/10.1117/12.922602
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Cited by 1 scholarly publication.
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KEYWORDS
Tumors

Ultraviolet radiation

Principal component analysis

Spectroscopy

Brain

Tumor growth modeling

Data analysis

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