Spectral imaging and linear unmixing in light microscopy.

By T. Zimmermann. Advances in Biochemical Engineering/Biotechnology, 2005

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Spectral imaging: Principles and applications (2006, background): “The linear decomposition algorithm, also termed spectral unmixing (29), is based on the assumption that the measured signal from each color is linearly proportional to the concentration of that color in the object.”
Clarifying Tissue Clearing (2015, unknown): “A number of techniques reduce autofluorescence somewhat, including: bleaching with high-intensity lighting (Duong and Han, 2013), sodium borohydride treatment to eliminate Schiffs bases (Clancy and Cauller, 1998), and spectral unmixing to remove broadband fluorescent signals (Zimmermann, 2005).”
Review of spectral imaging technology in biomedical engineering: achievements and challenges (2013, background): “With the spectral information, spectral imaging technology makes it possible to resolve the spectra of fluorescence images without switching optical filters and unmix the cross-talk between overlapping fluoresence emissions.(209) One of the most widespread applications of spectral imaging technology”