SSASU

SSASU (Semi-blind Sparse Affine Spectral Unmixing) is a software tool to improve spectral unmixing of fluorescence microscopy images contaminated by autofluorescence and background fluorescence. The key features of SSASU are:

1. It uses an Affine Mixture Model (AMM) that accounts for background fluorescence, generalizing the traditional linear mixing model.

2. It employs an affine nonnegative matrix factorization method to estimate fluorophore endmember spectra from reference images.

3. SSASU learns the autofluorescence and background fluorescence spectra per-image using the estimated endmembers.

Topic

Imaging

Detail

  • Operation: -

  • Software interface: Command-line user interface

  • Language: R,MATLAB

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: The National Science Foundation (NSF) Graduate Research Fellowship Program, the National Institutes of Health (NIH) National Institute of Dental and Craniofacial Research (NIDCR).

  • Input: -

  • Output: -

  • Contact: Blair J Rossetti blair.rossetti@emory.edu

  • Collection: -

  • Maturity: -

Publications

  • Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs.
  • Rossetti BJ, et al. Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs. Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs. 2020; 36:910-917. doi: 10.1093/bioinformatics/btz674
  • https://doi.org/10.1093/BIOINFORMATICS/BTZ674
  • PMID: 31504202
  • PMC: PMC7523684

Download and documentation

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