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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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Contributor : Raphael Etournay Connect in order to contact the contributor
Submitted on : Friday, June 23, 2017 - 10:48:48 AM
Last modification on : Thursday, April 7, 2022 - 10:10:23 AM

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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 University Press (OUP), 2017, pp.Bioinformatics btx195. ⟨10.1093/bioinformatics/btx195⟩. ⟨pasteur-01545824⟩



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