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Author:
Qiqi Lu
License:
Copyright (c) 2024, Qiqi Lu All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Red...
Summary:
Kernel learning deconvolution (KLD) is a rapid deconvolution algorithm for fluorescence microscopic image, which learns the forward and backward kernels in Richardson-Lucy Deconvolution (KLD) from paired low-/high-resolution images.
Latest version:
1.1.0
Required dependencies:
fft-conv-pytorch
|
magicgui
|
numpy
|
pydicom
|
pytorch-msssim
|
qtpy
|
scikit-image
|
tensorboard
|
torch
|
torchvision
Optional dependencies:
napari
|
pyqt5
|
pytest
|
pytest-cov
|
pytest-qt
|
tox
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