Hi Nikita, thanks for this nice video. I managed to merge 8 tiles, but in the final merged image I can see different intensities between the tiles, which makes the final result heterogeneous as we could recognize the different tiles. Do you have any idea why?
I sometimes also see stitching marks between the tiles, especially if the underlying signal is homogeneous (such as auto-fluorescence). Not sure why, this is maybe a question to BigStitcher development team.
Hi Nikita, many thanks for the video, I have a quick question, how do you select the best channel for stitching? Does it has to be a channel that has the brightest intensity or most interest points in common?
Hi, you can choose the brightest channel, or average of several channels. I usually pick the brightest one. The default stitching algorithm does not depend on interest points, it uses cross-correlation of image intensities.
Great video! Very useful! Thank you
Nikita, very nice! Thanks for the video!
Hi Nikita, thanks for this nice video. I managed to merge 8 tiles, but in the final merged image I can see different intensities between the tiles, which makes the final result heterogeneous as we could recognize the different tiles. Do you have any idea why?
I sometimes also see stitching marks between the tiles, especially if the underlying signal is homogeneous (such as auto-fluorescence). Not sure why, this is maybe a question to BigStitcher development team.
Awesome Nikita! Thanks :)
You are welcome :)
Very cool! Thanks for sharing!
Glad you like it!
Hi Nikita, many thanks for the video, I have a quick question, how do you select the best channel for stitching? Does it has to be a channel that has the brightest intensity or most interest points in common?
Hi, you can choose the brightest channel, or average of several channels. I usually pick the brightest one. The default stitching algorithm does not depend on interest points, it uses cross-correlation of image intensities.