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Currently, napari-lattice works only with a single ROI and it assumes that the cell doesn't move much.
If cell wobbles a bit, we just draw a bigger ROI.
This is all done using the MIP image after image acquisition for Zeiss lattice.
We need to define how this is going to look like, i..e., scheme of the pydantic model if using this approach and best way to integrate it.
The text was updated successfully, but these errors were encountered:
To handle a movable ROI, we would need to define a new ROI type as a Pydantic model, which would at least contain the region as an array, and the timepoint it corresponds to:
classRoi(BaseModel):
region: ShapesDatatime_point: int
Then the ROI list becomes a list of these new models:
Currently, napari-lattice works only with a single ROI and it assumes that the cell doesn't move much.
If cell wobbles a bit, we just draw a bigger ROI.
This is all done using the MIP image after image acquisition for Zeiss lattice.
We need to define how this is going to look like, i..e., scheme of the pydantic model if using this approach and best way to integrate it.
The text was updated successfully, but these errors were encountered: