PreMosa: Extracting 2D surfaces from 3D microscopy mosaics.

Résumé : A significant focus of biological research is to understand the development, organization and function of tissues. A particularly productive area of study is on single layer epithelial tissues in which the adherence junctions of cells form a 2D manifold that is fluorescently labeled. Given the size of the tissue, a microscope must collect a mosaic of overlapping 3D stacks encompassing the stained surface. Downstream interpretation is greatly simplified by preprocessing such a dataset as follows: (a) extracting and mapping the stained manifold in each stack into a single 2D projection plane, (b) correcting uneven illumination artifacts, (c) stitching the mosaic planes into a single, large 2D image, and (d) adjusting the contrast.
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https://hal-pasteur.archives-ouvertes.fr/pasteur-01545824
Contributeur : Raphael Etournay <>
Soumis le : vendredi 23 juin 2017 - 10:48:48
Dernière modification le : vendredi 9 mars 2018 - 13:38:01

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Corinna Blasse, Stephan Saalfeld, Raphael Etournay, Andreas Sagner, Suzanne Eaton, et al.. PreMosa: Extracting 2D surfaces from 3D microscopy mosaics.. Bioinformatics (Oxford, England), 2017, pp.Bioinformatics btx195. 〈https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btx195〉. 〈10.1093/bioinformatics/btx195〉. 〈pasteur-01545824〉

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