SSIM and Fourier ring correlation analysis of Noise2Void-reconstructed STED images

Dataset <strong>“STED_N2V_TestData.lif”</strong> is DNA distribution in a fixed zebrafish embryo, obtained with STED microscopy. It contains 6 series. And each series has low-quality images 1 and 2 which are acquired with identical acquisition settings and the high-quality image which was acquired in the same scanning sequence as the low-quality images but included accumulation by repeated line-scanning to improve image quality. Low-quality images 1 and 2 are then reconstructed by Noise2Void (Reconstructed image 1 and 2) and saved in the <strong>“reconstructed.zip”</strong> folder Python script <strong>"FRC.py"</strong> contains analysis to determine the improvement in the effective resolution of reconstructed images relative to the unprocessed low-quality images. Python script <strong> “n2v-SSIM-STED.py”</strong> illustrates how SSIM value improves by n2v processing on the dataset named “STED_N2V_TestData.lif