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Title:

Blind source separation techniques for the decomposition of multiply labeled fluorescence images

Author(s):
Neher, R. A.; Mitkovski, M.; Kirchhoff, F.; Neher, E.; Theis, F. J.; Zeug, A.
Abstract:
Methods of blind source separation are used in many contexts to separate composite data sets according to their sources. Multiply labeled fluorescence microscopy images represent such sets, in which the sources are the individual labels. Then distributions are the quantities of interest and have to be extracted from the images. This is often challenging, since the recorded emission spectra of fluorescent dyes are environment- and instrument-specific. We have developed a nonnegative matrix factor...     »
Keywords:
nonnegative matrix factorization nervous-system microscopy cell expression resolution proteins
Journal title:
Biophys. J.
Year:
2009
Journal volume:
96
Journal issue:
9
Pages contribution:
3791-3800
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