Mosaic Preprocessing Pipeline
View the Project on GitHub CBlasse/premosa
The imaging of large tissues or specimen with fluorescent microscopy typically yields large 3D image mosaics. In many experimental setups, however, the used markers localize only along a 2D manifold (surface) within the tissue. To simplify downstream analyses, one can therefore reduce the image data to this 2D manifold. PreMosa is a fully automatic pipeline to perform this task and three additional tasks that are also essential in the preprocessing of 3D image mosaics:
The PREMOSA project was initiated by Corinna Blasse (@cblasse) and Gene Myers (@thegenemyers). Corinna Blasse wrote the algorithms for extracting 2D surfaces in 3D volumes, for correcting the illumination artifacts and for combining the different tasks into one pipeline. Stephan Saalfeld (@axtimwalde) wrote the Fiji plugin to adjust the contrast and brightness of the 2D mosaic planes.
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