Simulated ChannelSpin Dataset

This example dataset corresponds to the paper https://arxiv.org/abs/1907.01898. Moscovich, A., Halevi, A., Andén, J., &amp; Singer, A. (2020). Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes. <em>Inverse Problems</em>, <em>36</em>(2), 024003.<br> <br> Expresses the ChannelSpin feature without ChannelStretch. Includes 54 generated volumes sized (54,54,54) and stack of 10000 projection images (54,54).<br> <br> The dataset was originally created by the paper authors in using several legacy MATLAB functions denoted by "gen_fakekv*". That dataset was converted into a compressed Numpy (.npz) dataset compatible with ASPIRE-Python. The dataset includes parameters (rotations, amplitudes, states, etc) required to simulate an equivalent image stack in Python starting from the volumes, or used directly to provide a ground truth reference. Alternatively, these parameters can be modified to generate different image stacks.