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I am not sure if this can be done now, so if it already has I would also love to know how to access it. Basically, I am working in fruit fly system. The kind of 2p imaging data we get is not signals filled in whole field of view (filling the square for example). So my image looks like a bright region of structure on a black background. And if I just input this image for extraction it finds a lot of rois in the background.
Attempted alternative approaches:
I haven't tried intensively. I think I could crop to small pieces by hand and run on each pieces. But I think it would be nice to be integrated in a pipeline.
Additional Context
No response
The text was updated successfully, but these errors were encountered:
Hi @jingxuanf0214, I'm not sure I understand what your request is. When you use suite2p, the pipeline should perform the extraction on all of the ROIs you've enclosed in the rectangle as long as suite2p identifies them as ROIs. You can access them by getting the ROI numbers for the ROIs in the rectangle you made. You should then be able to find the corresponding fluorescence traces and spikes for these ROIs in the F.npy and spks.npy files, respectively.
Feature you'd like to see:
I am not sure if this can be done now, so if it already has I would also love to know how to access it. Basically, I am working in fruit fly system. The kind of 2p imaging data we get is not signals filled in whole field of view (filling the square for example). So my image looks like a bright region of structure on a black background. And if I just input this image for extraction it finds a lot of rois in the background.

Attempted alternative approaches:
I haven't tried intensively. I think I could crop to small pieces by hand and run on each pieces. But I think it would be nice to be integrated in a pipeline.
Additional Context
No response
The text was updated successfully, but these errors were encountered: