In Figure 3, A and B, we see a threshold effect due to the number of unmixed individuals when the number of unmixed individuals changes from 30 to 100.
Specifically, information is needed on the unmixed expression of each gene (i.e., data from one gene in the absence of the other gene).
Data were calculated from the unmixed images that corresponded to the red and green signals.
A linear unmixing algorithm is then applied, using these fitted values, to the reconstructed data in order to retrieve the unmixed 3D reconstructions.
Figure 5a shows the reconstruction obtained with the raw data before the unmixing is performed, while Figs. 5b and 5c depict the unmixed 3D reconstructions of the two fluorophores clearly separated.
The unmixing matrix is found by maximizing the statistical independence of the unmixed signals.
Spectral unmixing algorithms (available from CRi) were applied to create the unmixed images of autofluorescence and the UC PL signal.
That's not the unmixed blessing that it might sound.
The most popular German textbook of the time would refer to "the unmixed German blood which flows in our veins".
Figure 8 Spectrograms of the unmixed and separated source signals.
