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
We describe the design and performance of a Hyperspectral Imaging System (HSI) for label-free characterization of
human metaphase chromosomes. Chromosomes consist of a DNA-protein complex that is organized in sub-structures
and can be described by an array of "particles" with different size and refractive indices. This locally resolved stray light
pattern can be used to visualize and characterize unstained chromosomes. The paper describes an imaging system where
stray light spectra of chromosomes are detected using a Pushbroom Imaging device attached to a standard microscope in
combination with multivariate data analysis. To proof the concept, single particle spectra as well as particle array spectra
are analyzed and explained by means of Mie scattering theory and the results are confirmed with FDTD (Finite Difference Time Domain) simulations. This label free signature is due to the superposition of the interference pattern of the different layer thicknesses, the spectral interference of the band pattern, changes in refractive indices along the chromosome axis as well as the absorption of chromophores in different spectral regions of the chromatin condensation. This complex spectral signature can be analyzed by means of a principal component analysis (PCA) and classified in a multidimensional PCA space.