Evaluation and quantification of spectral information in tissue by confocal microscopy

Maeder, Ulf; Marquardt, Kay; Beer, Sebastian; Bergmann, Thorsten; Schmidts, Thomas; Heverhagen, Johannes T; Zink, Klemens; Runkel, Frank; Fiebich, Martin (2012). Evaluation and quantification of spectral information in tissue by confocal microscopy. Journal of biomedical optics, 17(10), p. 106011. Bellingham, Wash.: SPIE International Society for Optical Engineering 10.1117/1.JBO.17.10.106011

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A confocal imaging and image processing scheme is introduced to visualize and evaluate the spatial distribution of spectral information in tissue. The image data are recorded using a confocal laser-scanning microscope equipped with a detection unit that provides high spectral resolution. The processing scheme is based on spectral data, is less error-prone than intensity-based visualization and evaluation methods, and provides quantitative information on the composition of the sample. The method is tested and validated in the context of the development of dermal drug delivery systems, introducing a quantitative uptake indicator to compare the performances of different delivery systems is introduced. A drug penetration study was performed in vitro. The results show that the method is able to detect, visualize and measure spectral information in tissue. In the penetration study, uptake efficiencies of different experiment setups could be discriminated and quantitatively described. The developed uptake indicator is a step towards a quantitative assessment and, in a more general view apart from pharmaceutical research, provides valuable information on tissue composition. It can potentially be used for clinical in vitro and in vivo applications.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Heverhagen, Johannes




SPIE International Society for Optical Engineering




Factscience Import

Date Deposited:

04 Oct 2013 14:37

Last Modified:

17 Mar 2015 21:29

Publisher DOI:


PubMed ID:


Web of Science ID:



https://boris.unibe.ch/id/eprint/15114 (FactScience: 222315)

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