Fig. 1

Schematic of the proposed RAPID framework. a Reduced-angle ptycho-tomography experiment to collect diffraction pattern measurements via translational and rotational scanning. Raw diffraction patterns are pre-processed to generate the approximant as the input to the pre-trained network, and volumetric distribution are obtained as the final output. b Network training process. Diffraction patterns acquired from reduced-angle ptycho-tomography are pre-processed to get the approximant as the network input, and a two-step conventional approach is employed to generate the high-resolution golden standard (GS) as the ground truth to train the DNN