Comments (2)
Pinging @edyoshikun for neuromast reconstructions.
from waveorder.
@talonchandler thanks for catching this effect of padding! It is interesting that type of padding assumes a contrast mechanism.
An "even more correct" solution would be to skip the axial FFT altogether and solve a small inverse problems for each transverse spatial frequency.
Are you thinking of 2D FFTs at each
$$ I(f_x, f_y, z) = S(f_x, f_y, z) \otimes_z O (f_x, f_y,z) $$
Above are defocused 2D spectrum of image, defocused 2D spectrum of specimen, and defocused 2D OTF.
It makes sense to solve the above at each transverse spatial frequency. What inverse algorithm are you thinking of?
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Related Issues (20)
- Removing I/O module HOT 5
- Migrate fluorescence reconstructions to `torch` and `model`-based structure HOT 4
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- torch meshgrid warning
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- Support GPUs via `torch` HOT 1
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- [Bug] Overlapping rings in phase transfer function HOT 5
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