sylvainprigent / sdeconv Goto Github PK
View Code? Open in Web Editor NEW2D and 3D image deconvolution with python
License: Other
2D and 3D image deconvolution with python
License: Other
Thanks for producing this package. I've used it in a manuscript I'm writing and I'm wondering if there is any particular way you want this package cited? Is there a publication for which this package was produced maybe? Additionally I saw no CITATION.cff file in the repo.
Thanks again!
I want to use SPITFIR(e) in order to make high-quality immunofluorescent images. However, the losses get nan in some images. How can I cope with this problem? I have already tried the following approaches.
loss.backward()
torch.nn.utils.clip_grad_norm_(deconv_image, max_norm=0.02)
optimizer.step()
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