Tomography is a powerful tool for reconstructing the interior of an object from a series of projection images. Typically, the source and detector traverse a standard path (e.g., circular, helical). Recently, various techniques have emerged that use more complex acquisition geometries. Current software packages require significant handwork, or lack the flexibility to handle such geometries. Therefore, software is needed that can concisely represent, visualize, and compute reconstructions of complex acquisition geometries. We present tomosipo, a Python package that provides these capabilities in a concise and intuitive way. Case studies demonstrate the power and flexibility of tomosipo.
Optics Express
MUltiscale, Multimodal and Multidimensional imaging for EngineeRING , Machine learning for large 3D tomographic images
Computational Imaging

Hendriksen, A.A, Schut, D.E, Palenstijn, W.J, Viganò, N.R, Kim, J, Pelt, D.M, … Batenburg, K.J. (2021). Tomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in Python. Optics Express, 29(24), 40494–40513. doi:10.1364/OE.439909