Computational analysis of 3D mouse embryo images

Invited Talk presented on Nov. 26, 2008 by Ruben Schilling at Universität zu Lübeck Institut für Mathematik.

Abstract: Traditionally the analysis of genetic transcription rates was performed on textual annotations recorded from photographs or physical slices of in-situ stained subjects. Contrary to this approach is the quantitative analysis of expression patterns directly on 3D image data, which fits important categories of patterns better. We are working on an instrumentarium for the inter-subject registration of staged 3D mouse embryo images. The amount of variability in this interesting data is high. The registration is the basis for the analysis of patterns of genetic transcription rates, that are contained in the images. Our goal is an atlas of fused in-situ patterns, such that the latter can then be clustered into functional groups.

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