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ZENODO
Model . 2026
License: CC BY
Data sources: Datacite
ZENODO
Model . 2026
License: CC BY
Data sources: Datacite
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The model weights of "Unsupervised deep learning enables blur-free resolution-enhancement in two-photon microscopy"

Authors: Morita, Haruhiko;

The model weights of "Unsupervised deep learning enables blur-free resolution-enhancement in two-photon microscopy"

Abstract

This repository contains the pre-trained and fine-tuned model weights (.pt files) for TENET, an unsupervised deep learning framework for simultaneous deblurring, super-resolution, and semantic segmentation of two-photon microscopy volumes. For usage instructions, training details, and the full codebase, see the GitHub repository: https://github.com/HaLU-9000/TENET

Keywords

Microscopy, Fluorescence, Multiphoton, Unsupervised Machine Learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average