bu-cisl/DeepVIDv2
DeepVID v2: Self-Supervised Denoising with Decoupled Spatiotemporal Enhancement for Low-Photon Voltage Imaging
This tool helps neuroscientists and biologists clean up noisy raw video footage from voltage imaging experiments, especially when working with low light conditions. You provide your noisy TIF video files, and it produces a clearer, denoised version of the same video, making it easier to analyze cellular electrical activity. Researchers studying brain function or cardiac activity using voltage-sensitive dyes would find this beneficial.
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Use this if you need to improve the clarity and signal quality of your voltage imaging videos that suffer from high noise due to low photon counts.
Not ideal if your imaging data is not voltage imaging or if you require real-time denoising during live experiments.
Stars
9
Forks
1
Language
Python
License
GPL-3.0
Category
Last pushed
May 23, 2024
Commits (30d)
0
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