Comments (1)
Thank you for using our package! Yes, you should be able to use it for confocal as long as your imaging condition doesn't have the refractive index mismatch.
You can capture a focal stack with the confocal and simulate (or capture) the 3D psf of the confocal.
Then, you can plug your 3d psf to here and run the 3D deconvolution. (No need to deconvolve each image in a for-loop.)
Since I've never seen how the package works for confocal, it would be great if you can share the results!
from threedeconv.jl.
Related Issues (7)
- [WIP] Support non-square images
- cuFFT always fail to allocate GPU or CPU memory HOT 3
- ERROR: could not find project file in package at https://github.com/computational-imaging/ThreeDeconv.jl.git HOT 4
- Register Registrator?
- CuArray error upon calling deconvolve HOT 3
- Please update so this works on current Julia 1.7 HOT 1
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from threedeconv.jl.