Hi Koundinya,
I'm not sure if that will answer your question but if you try:
from matplotlib.colors import LinearSegmentedColormap
cmap_Hema = LinearSegmentedColormap.from_list('mycmap', ['white', 'navy'])
cmap_DAB = LinearSegmentedColormap.from_list('mycmap', ['white',
'saddlebrown'])
cmap_Eosin = LinearSegmentedColormap.from_list('mycmap', ['darkviolet',
'white'])
that will do a descent job:
<https://lh3.googleusercontent.com/-a4bH0zIq5JM/V7-0ZrvbtlI/AAAAAAAAGE4/iSONyuAu8OIVqWz32ZBzZbD64OkwbCCmwCLcB/s1600/immuno.png>
<https://lh3.googleusercontent.com/-a4bH0zIq5JM/V7-0ZrvbtlI/AAAAAAAAGE4/iSONyuAu8OIVqWz32ZBzZbD64OkwbCCmwCLcB/s1600/immuno.png>
Sincerely,
Cedric
On Monday, August 22, 2016 at 10:40:06 PM UTC-7, Koundinya Desiraju wrote:
>
> In this tutorial,
> http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_ihc_color_separation.html#sphx-glr-auto-examples-color-exposure-plot-ihc-color-separation-py
>
> After color deconvolution the haematoxylin and DAB channels were plotted
> in grayscale but I want to show them in respective colors. For example, I
> want to show DAB channel in brown. Can anyone kindly post How to do that?
>
> Thanks,
> Koundinya
>
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