Dresden 2011 – scientific programme

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MO: Fachverband Molekülphysik

MO 32: Poster: Experimental Techniques

MO 32.1: Poster

Thursday, March 17, 2011, 16:00–18:00, P1

Multiplex-CARS microspectroscopy and multivariate statistics for characterisation of biological samples — •Christoph Pohling, Tiago Buckup, and Marcus Motzkus — Physikalisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, D-69120 Heidelberg, Germany

Multiplex Coherent Anti-Stokes Raman Scattering (MCARS) provides labelling free and fast characterisation of samples in nonlinear microscopy. In case of unknown biological tissue, CARS has been, however, often limited to the visualisation of lipid rich structures. Combined with additional steps of data processing such as imaginary part extraction followed by multivariate statistics, this limitation was compensated [1]. In this context, techniques like (functional-) Principal Component Analysis (PCA) and Maximum Entropy Method (MEM) have been successfully employed in the analysis of complex samples. Here we compare these methods based on the characterization of several biological samples such as different types of cellulose-rich samples as well as mammalian brain tissue. Particularly, chemical contrast obtained from PCA analysed MCARS data shows equivalent information as the well known HE-stained samples. [1] Pohling, C., Buckup, T., Motzkus, M., Hyperspectral data processing for chemoselective Multiplex CARS microscopy of unknown samples, J. Biomed. Opt., 2010, accepted.