README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - microscopy
  - denoising
  - fluorescence-microscopy
  - image-restoration
  - 2d
  - 3d

FMDNet Weights (smthooper/fmdnet-weights)

Model Summary

FMDNet is a pretrained denoising model for fluorescence microscopy data. This repository provides checkpoint weights consumed by the fmdnet Python package.

Provided files:

• fmdnet_3d.pt
• fmdnet_2d.pt

Intended Use

• Denoising fluorescence microscopy images/volumes.
• Load with:
  • FMDNet.from_pretrained("fmdnet-3d")
  • FMDNet.from_pretrained("fmdnet-2d")

Out-of-Scope / Non-Intended Use

• Clinical diagnosis or treatment decisions.
• Safety-critical deployment without domain-specific validation.
• Data modalities outside fluorescence microscopy.

Limitations

• Performance depends on imaging conditions.
• Memory limits may apply for large volumes.

Training / Fine-Tuning Context

Base checkpoints are intended as general pretrained denoisers. Fine-tuning is supported by the fmdnet package in:

• supervised
• clean
• noisy

Version Compatibility

Model repo/tag	Expected package version	Notes
main (current)	fmdnet==0.0.1	Initial public release

License

Model weights license: Apache-2.0

Code repository license: Apache-2.0

Citation

If you use this model, please cite:

[ADD FULL PAPER CITATION]