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Image Processing

Fluorescence Stitching

Joining fluorescence tiles into one mosaic

Definition
The process of joining overlapping fluorescence image tiles into a single large mosaic. Stitching corrects vignetting, intensity fall-off, and sub-pixel misalignment, so analysis algorithms work the same way across tile boundaries.
Flat-Field Correction
Eliminates illumination non-uniformity
Sub-Pixel Alignment
Tiles aligned with fraction-of-a-pixel precision

Stitching Challenges

Fluorescence stitching is more demanding than brightfield because:

  • Vignetting: illumination intensity falls off at tile edges, creating visible seams if uncorrected
  • Photobleaching: overlapping regions may have reduced signal from double exposure
  • Background variation: autofluorescence varies across the tissue, complicating intensity normalization

PanoBrain's stitching corrects vignetting and normalizes intensity across tile overlaps, so tile boundaries do not show in the images that cell detection runs on. Stitching cannot restore signal lost to photobleaching or remove autofluorescence from the tissue.

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