The final challenge with experimental data is that Tomo-NeRF assumes the sample rotates around a central axis. Any shift in the central axis will change the projection angle in the input data. Over long imaging experiments, where 1000s of images are taken, it is common for some shifting to occur. One of the benefits of the sparse-view imaging approach is a decrease in imaging time and thus reduction of these artifacts.