Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data

  title={Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data},
  author={Fabian J Theis and Richard A. Neher and Andr{\'e} Zeug},
Recently, we have proposed a blind source separation algorithm to separate dyes in multiply labeled fluorescence microscopy images. Applying the algorithm, we are able to successfully extract the dye distributions from the images. It thereby solves an often challenging problem since the recorded emission spectra of fluorescent dyes are environment and instrument specific. The separation algorithm is based on nonnegative matrix factorization in a Poisson noise model and works well on many… 
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