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Hi @ekatrukha
Many high/super resolution methods can output 2, 3, or even 4 colour channel images.
Procedure could be repeated for further colour channels, but then need a way to know which colour channel image is which...
... since the order of the image colour channels might not always be the same in different imaging experiments from the same optical setup? Today RGB, tomorrow BGR
perhaps use meta data from image import to determine and label illumination or emission channel by wavelength, eg 488 nm or "colour" - blue, green, red, far red, cyan, yellow, orange, magenta, etc.
Or just have channels labelled REF, 2, 3, 4 etc, and let the user worry about getting them in the right order by making sure the calibration image and the image to correct have colour channels in the same order.
Would need to support composite images?
The text was updated successfully, but these errors were encountered:
Hi @ekatrukha
Many high/super resolution methods can output 2, 3, or even 4 colour channel images.
Procedure could be repeated for further colour channels, but then need a way to know which colour channel image is which...
... since the order of the image colour channels might not always be the same in different imaging experiments from the same optical setup? Today RGB, tomorrow BGR
perhaps use meta data from image import to determine and label illumination or emission channel by wavelength, eg 488 nm or "colour" - blue, green, red, far red, cyan, yellow, orange, magenta, etc.
Or just have channels labelled REF, 2, 3, 4 etc, and let the user worry about getting them in the right order by making sure the calibration image and the image to correct have colour channels in the same order.
Would need to support composite images?
The text was updated successfully, but these errors were encountered: