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Comparison of the autofluorescence endmember estimated from the no-probe control reference image (gray region) to the autofluorescence endmembers learned by SSASU.

Comparison of the autofluorescence endmember estimated from the no-probe control reference image (gray region) to the autofluorescence endmembers learned by SSASU.

Source publication
Fig. 1. Comparison of seven Mean and ANMF estimated endmember spectra...
Fig. 2. Comparison of unmixing performance for SSASU, NLS, and...
Fig. 3. Montage of unmixed images for NLS (top) and SSASU (bottom)....
Fig. 4. Comparison of the autofluorescence endmember estimated from the...
Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs
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  • Jan 2019
Spectral unmixing methods attempt to determine the concentrations of different fluorophores present at each pixel location in an image by analyzing a set of measured emission spectra. Unmixing algorithms have shown great promise for applications where samples contain many fluorescent labels; however, existing methods perform poorly when confronted...
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... applications using NLS, it is common to estimate the aut- ofluorescence endmember from a no-probe control. Figure 4 shows how the autofluorescence endmember estimated from the no-probe control image compare to those learned by SSASU. It is clear that the no-probe control endmember poorly characterized the autofluorescence encountered in the test images. ...