 Abstract tomography has had a significant impact on the physical, biological, and medical sciences. It involves reconstructing a 3-dimensional, 3D object from a set of 2-dimensional, 2D projections. However, this process is often hindered by limited projections due to radiation exposure and geometric constraints. To overcome these limitations, researchers have developed several tomographic reconstruction algorithms, such as direct inversion, real-space, and Fourier-based iterative algorithms. One such algorithm, real-space iterative reconstruction, Recyta, uses a forward and backward projection step to accurately reconstruct 3D structures from limited projections. This algorithm has been successfully applied to a variety of fields, including the determination of the 3D atomic structure of an amorphous tathin film. Additionally, Recyta is freely available and easy to use, making it a valuable tool for tomographic reconstruction. This article was authored by Minfam, Yaqu Nguyen, Arjun Wana, and others. We are article.tv, links in the description below.