Published December 17, 2018
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TensorFlow trained model on cross-modality super-resolution
Description
Trained TensorFlow models to transform diffraction-limited input images into super-resolved ones. The model's architecture is a generative adversarial network (GAN). Further details about how the models were trained and how to easily use them in Fiji is given in the main publication:
https://doi.org/10.1038/s41592-018-0239-0
Files
dapi_tensorflow_saved_model_bundle.zip
Files
(769.6 MB)
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md5:3df649e4b365eb8d376ce00a5fbd174e
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md5:a8ef9f42f6594447565947fcfb42c462
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md5:b356afbb3c52320a7176b07d198edcd6
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82.9 MB | Preview Download |
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md5:d15598d871af36a973787eac8f7c43f0
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173.6 MB | Preview Download |
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md5:131d34693acc35fa84b3e766020ec346
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md5:dcafae7f7112d1c487e3260e6bd843c5
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173.8 MB | Preview Download |
Additional details
Related works
- Is documented by
- 10.1038/s41592-018-0239-0 (DOI)