Noise in high-speed fluorescence imaging limits real-time analysis of neural dynamics. We present FAST, a lightweight deep-learning framework that leverages spatial-temporal redundancy for calcium, voltage, and volumetric imaging, enabling real-time denoising at >1000 fps.
- Yiqun Wang
- Yuanjie Gu
- Biqin Dong
