Figure 4
From: Multi-resolution convolutional neural networks for inverse problems
Extended Figure: Phase predicted from defocused image(s). From one or more defocused images of a pure phase object made up of human cheek cells acquired equally spaced by dz = 4 μm from −256 μm to 256 μm (only 11 shown), MCNNs are capable of phase prediction. (a) GPTIE reconstruction from gradients estimated using 129 images from different focal planes, with a range-of-interest of 945 × 888 pixels selected31. (b) Phase prediction from 1 image at a distance of −108 μm, with 1024 × 1024 pixels. (c) Prediction from 1 image at a distance of 108 μm. (d) Prediction from 2 images at −52 μm and 52 μm, showing good performance on par with the state-of-the-art reconstruction algorithm demonstrated in (a).
