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:
