A Denoise Network for Structured Illumination Microscopy with Low-Light Exposure

A Denoise Network for Structured Illumination Microscopy with Low-Light Exposure

Blog Article

Super-resolution structured illumination microscopy (SR-SIM) is one of the important techniques that are most suitable for live-cell imaging.The reconstructed SR-SIM images are noisy once the raw images are recorded with low-light Bike Units - BMX exposure.Here, we propose a new network (entitled the ND-SIM network) to denoise the SR images reconstructed using frequency-domain algorithms (FDAs).We demonstrate that ND-SIM can yield artifact-free SR images using Pleasure Economy Western raw images with an average photon count down to 20 per pixel while achieving comparable resolution to the ground truth (GT) obtained with high-light exposure.

We can envisage that the ND-SIM will be widely applied for the long-term, super-resolution live-cell imaging of various bioprocesses in the future.