Comments (2)
@jni Could you please provide a bit more explanation about how these two use cases differ? I am unfamiliar with them.
I think I understand what you mean by
treat the 2D image as a very thin 3D slice
That's like if you did a low res scan of a 3D volume and a high res imaging of an ROI in 2D then wanted to position your
ROI within the larger volume. But I don't get
treat it as "limited" to the two right-aligned dimensions
Is the neuron segmentation in 2D while the calcium imaging timeseries in 2D + t? So you'd just want to copy the same neuron segmentation over time?
from affinder.
Yep, both your interpretations are correct. The segmentation applies equally to every time point. One specific example that triggered this issue was aligning an island's contour coordinates (a shapes layer) with a time-series of surface temperature on the island.
from affinder.
Related Issues (20)
- Type error: missing a required argument 'layers' HOT 3
- multi-time-point multi-channel issues HOT 1
- Create close_affinder with magic_factory rather than magicgui
- Don't use a magicgui widget as a global store for attributes
- Add ability to automatically refine alignment once approximate alignment is found HOT 1
- Add ability to use RANSAC for robust registration with many points
- Task: update to npe2 HOT 2
- Task: Allow aligning non-image layers
- wheel building broken?
- Task: add tests for non-image alignment
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- why not make the description the readme? HOT 10
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from affinder.