We develop advanced image processing algorithm to enhance signal-to-noise ratio for high-precision measurements.
- DETAIL -
We develop a novel image processing that extracts the dynamic signal from a massive, relatively static background. This method is especially powerful in scattering-based imaging because the signal of a small particle is usually overwhelmed by the strong background. We find that in ultrahigh-speed imaging, the background is relatively stationary compared to the signal. By using our method, the signal-to-noise ratio is greatly improved, making it possible to detect and to track small particles in live cellular environments.