PreMosa: extracting 2D surfaces from 3D microscopy mosaics
Author(s) -
Corinna Blasse,
Stephan Saalfeld,
Raphaël Etournay,
Andreas Sagner,
Suzanne Eaton,
Eugene W. Myers
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx195
Subject(s) - image stitching , computer science , projection (relational algebra) , preprocessor , contrast (vision) , artificial intelligence , computer vision , focus (optics) , pipeline (software) , pattern recognition (psychology) , algorithm , optics , physics , programming language
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: (i) extracting and mapping the stained manifold in each stack into a single 2D projection plane, (ii) correcting uneven illumination artifacts, (iii) stitching the mosaic planes into a single, large 2D image and (iv) adjusting the contrast.
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