Upload a noisy image (PNG/JPG/TIFF). Restore it with a classical denoiser (nlm, tv, wavelet) or a deep DnCNN trained on synthetic data. A synthetic noisy microscopy image (with the clean ground truth) is baked in, so PSNR/SSIM are reported for the noisy input and the denoised result.