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help > RE: BrainAligner
Nov 2, 2017 09:11 PM | Yang Yu - Allen Institute for Brain Science
RE: BrainAligner
Hi Kevin,
For the background, without looking at your images, I can only give some general ideas. You can use adaptive thresholding (rolling ball) to separate foreground and background signals. If you are interested in some fancy algorithms, you can train a model to classify your image's pixels into foreground and background.
The "bleaching" problem, you can try some image enhancement methods to normalize the image contrast. However, most researchers try to enhance the label effect from biological aspect. I am not sure why you still have this issue. I would suggest you try improving your imaging instead of post processing.
Hope this will help.
Best,
Yang
For the background, without looking at your images, I can only give some general ideas. You can use adaptive thresholding (rolling ball) to separate foreground and background signals. If you are interested in some fancy algorithms, you can train a model to classify your image's pixels into foreground and background.
The "bleaching" problem, you can try some image enhancement methods to normalize the image contrast. However, most researchers try to enhance the label effect from biological aspect. I am not sure why you still have this issue. I would suggest you try improving your imaging instead of post processing.
Hope this will help.
Best,
Yang
Threaded View
| Title | Author | Date |
|---|---|---|
| Kevin Leo | Oct 31, 2017 | |
| Kevin Leo | Nov 1, 2017 | |
| Yang Yu | Nov 1, 2017 | |
| Kevin Leo | Nov 2, 2017 | |
| Yang Yu | Nov 2, 2017 | |
| Yang Yu | Oct 31, 2017 | |
| Kevin Leo | Nov 1, 2017 | |
