PreMosa

Mosaic Preprocessing Pipeline

View the Project on GitHub CBlasse/premosa

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1. Introduction
2. Installation
3. Usage
4. Example

Welcome to 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:

  1. Extraction and projection of the 2D surface
  2. Correction of uneven illumination artifacts
  3. Stitching of the 2D mosaic planes
  4. Adjusting contrast and brightness of each 2D plane
For each image mosaic, the preprocessing results a single, large 2D image that presents the stained surface of interest without illumination artifacts.
DataExample

Authors and Contributors

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.

Support or Contact

Do you have a question? Send us an email.